From b8b36f0a84cde8ac08c4f42031642bd17d61e436 Mon Sep 17 00:00:00 2001 From: Shengpu Tang Date: Fri, 8 May 2020 02:17:57 -0400 Subject: [PATCH 01/28] process time series in batches --- FIDDLE/helpers.py | 4 +-- FIDDLE/steps.py | 91 ++++++++++++++++++++++++++++++++++++----------- 2 files changed, 72 insertions(+), 23 deletions(-) diff --git a/FIDDLE/helpers.py b/FIDDLE/helpers.py index 93b3991..d2741b2 100644 --- a/FIDDLE/helpers.py +++ b/FIDDLE/helpers.py @@ -202,13 +202,13 @@ def pivot_event_table(df): # Handle cases where the same variable is recorded multiple times with the same timestamp # Adjust the timestamps by epsilon so that all timestamps are unique eps = 1e-6 - m_dups = df.duplicated([ID_col, t_col, var_col], keep=False) + m_dups = df.duplicated([t_col, var_col], keep=False) df_dups = df[m_dups].copy() for v, df_v in df_dups.groupby(var_col): df_dups.loc[df_v.index, t_col] += eps * np.arange(len(df_v)) df = pd.concat([df[~m_dups], df_dups]) - assert not df.duplicated([ID_col, t_col, var_col], keep=False).any() + assert not df.duplicated([t_col, var_col], keep=False).any() return pd.pivot_table(df, val_col, t_col, var_col, 'first') diff --git a/FIDDLE/steps.py b/FIDDLE/steps.py index 509e2bc..7ad4ba4 100644 --- a/FIDDLE/steps.py +++ b/FIDDLE/steps.py @@ -7,6 +7,8 @@ FIDDLE Preprocessing steps from .helpers import * import time import json +import joblib +import multiprocessing def pre_filter(df, threshold, df_population, args): T = int(args.T) @@ -216,6 +218,11 @@ def process_time_dependent(df_data_time_series, args): df_time_series, dtypes_time_series = transform_time_series_table(df_data_time_series, args) print('Time elapsed: %f seconds' % (time.time() - start_time)) + ############## + joblib.dump(df_time_series, args.data_path + 'df_time_series.joblib') + joblib.dump(dtypes_time_series, args.data_path + 'dtypes_time_series.joblib') + ############## + ## Map variables to features X_all, X_all_feature_names = map_time_series_features(df_time_series, dtypes_time_series, args) sparse.save_npz(dir_path + 'X_all.npz', X_all) @@ -325,13 +332,17 @@ def post_filter(s_, s_feature_names_all, threshold): ###### def func_encode_single_time_series(i, g, variables, variables_num_freq, T, dt, stats_functions, impute=True): try: - assert g['ID'].nunique() == 1 - assert g['ID'].unique()[0] == i +# assert g['ID'].nunique() == 1 +# assert g['ID'].unique()[0] == i + assert g.index.nunique() == 1 + assert g.index.unique()[0] == i # non-frequent variables_non = sorted(set(variables) - set(variables_num_freq)) - df_j = pivot_event_table(g).reindex(columns=variables_non).sort_index() - df_values_j = most_recent_values(df_j, variables, T, dt) - df_out = df_values_j + if len(variables_non) > 0: + variables_non = sorted(set(variables) - set(variables_num_freq)) + df_j = pivot_event_table(g).reindex(columns=variables_non).sort_index() + df_values_j = most_recent_values(df_j, variables, T, dt) + df_out = df_values_j if len(variables_num_freq) > 0: # frequent @@ -352,6 +363,27 @@ def func_encode_single_time_series(i, g, variables, variables_num_freq, T, dt, s raise Exception(i) return i, df_out +def divide_chunks(l, n): + # looping till length l + for i in range(0, len(l), n): + yield l[i:i + n] + +def form_batches_of_examples(df_in, args, batch_size=1000): + grouped = df_in.set_index(ID_col) + IDs = list(grouped.index.unique()) + batches_IDs = list(divide_chunks(IDs, batch_size)) + batches = [grouped.loc[chunk] for chunk in batches_IDs] + return batches, batches_IDs + +def process_batch_time_series(first_arg): + batch, batch_IDs, args = first_arg + variables, variables_num_freq = args.variables, args.variables_num_freq + out = dict( + func_encode_single_time_series(i, batch.loc[i:i], variables, variables_num_freq, args.T, args.dt, args.stats_functions) + for i in batch_IDs + ) + return out + def transform_time_series_table(df_in, args): data_path = args.data_path theta_freq = args.theta_freq @@ -376,15 +408,32 @@ def transform_time_series_table(df_in, args): print() print('Transforming each example...') + args.variables = variables + args.variables_num_freq = variables_num_freq + # Encode time series table for each patient - grouped = list(df_in.groupby(ID_col)) if parallel: - out = dict(Parallel(n_jobs=n_jobs, verbose=10)( - delayed(func_encode_single_time_series)(i, g, variables, variables_num_freq, args.T, args.dt, args.stats_functions) - for i, g in grouped[:N] - )) +# out = dict(Parallel(n_jobs=n_jobs, verbose=10)( +# delayed(func_encode_single_time_series)(i, g, variables, variables_num_freq, args.T, args.dt, args.stats_functions) +# for i, g in grouped[:N] +# )) + batches, batches_IDs = form_batches_of_examples(df_in, args, batch_size=1000) + print('Batches of size 1000: ', len(batches)) + pool = multiprocessing.Pool(multiprocessing.cpu_count()) + out = list(tqdm(pool.imap_unordered( + process_batch_time_series, + zip(batches, batches_IDs, [args]*len(batches))), total=len(batches) + )) + pool.close() + pool.join() + + out = dict((key, d[key]) for d in out for key in d) + print() + print('Parallel processing done', flush=True) + else: + grouped = list(df_in.groupby(ID_col)) out = dict( func_encode_single_time_series(i, g, variables, variables_num_freq, args.T, args.dt, args.stats_functions) for i, g in tqdm(grouped[:N]) @@ -459,22 +508,22 @@ def transform_time_series_table(df_in, args): ts_delta_time.columns = [col.replace('_delta_time', '') for col in ts_delta_time.columns] imputed = (1-ts_mask).astype(bool) & (ts_delta_time > 0) - print('(freq) number of imputed entries :\t', - '{}'.format(imputed.sum().sum(), ts_delta_time.size)) +# print('(freq) number of imputed entries :\t', +# '{}'.format(imputed.sum().sum(), ts_delta_time.size)) imputed.sum().rename('count').to_csv(data_path + '/' + 'freq_imputed.csv') not_imputed = (1-ts_mask).astype(bool) & (ts_delta_time == 0) - print('(freq) number of not imputed entries :\t', - '{}'.format(not_imputed.sum().sum(), ts_delta_time.size)) +# print('(freq) number of not imputed entries :\t', +# '{}'.format(not_imputed.sum().sum(), ts_delta_time.size)) not_imputed.sum().rename('count').to_csv(data_path + '/' + 'freq_not_imputed.csv') - ## Non-Freq: Count missing entries - non_freq_cols = sorted([c + '_value' for c in set(variables) - set(variables_num_freq)]) - non_freqs = df_time_series[non_freq_cols] - print('(non-freq) number of missing entries :\t', - '{} out of {}={} total'.format( - non_freqs.isna().sum().sum(), - '\u00D7'.join(str(i) for i in [N,L,non_freqs.shape[1]]), non_freqs.size)) +# ## Non-Freq: Count missing entries +# non_freq_cols = sorted([c + '_value' for c in set(variables) - set(variables_num_freq)]) +# non_freqs = df_time_series[non_freq_cols] +# print('(non-freq) number of missing entries :\t', +# '{} out of {}={} total'.format( +# non_freqs.isna().sum().sum(), +# '\u00D7'.join(str(i) for i in [N,L,non_freqs.shape[1]]), non_freqs.size)) print() print('(N \u00D7 L \u00D7 ^D) table :\t', (N, L, len(columns))) -- GitLab From 08c2360f413e5fd89085ef5fa183f8fe957fd751 Mon Sep 17 00:00:00 2001 From: Shengpu Tang Date: Sat, 9 May 2020 15:32:03 -0400 Subject: [PATCH 02/28] modify user interface --- FIDDLE/config-Copy1.py | 16 + FIDDLE/config-default.yaml | 23 ++ FIDDLE/config.py | 35 +- FIDDLE/helpers.py | 9 +- FIDDLE/run-old.py | 112 +++++++ FIDDLE/run.py | 124 ++++--- FIDDLE/steps.py | 21 +- FIDDLE/steps_2.py | 638 +++++++++++++++++++++++++++++++++++++ 8 files changed, 920 insertions(+), 58 deletions(-) create mode 100644 FIDDLE/config-Copy1.py create mode 100644 FIDDLE/config-default.yaml create mode 100755 FIDDLE/run-old.py mode change 100755 => 100644 FIDDLE/run.py create mode 100644 FIDDLE/steps_2.py diff --git a/FIDDLE/config-Copy1.py b/FIDDLE/config-Copy1.py new file mode 100644 index 0000000..25fb05c --- /dev/null +++ b/FIDDLE/config-Copy1.py @@ -0,0 +1,16 @@ +import os, yaml +with open(os.path.join(os.path.dirname(__file__), 'config.yaml')) as f: + config = yaml.full_load(f) + +ID_col = config['column_names']['ID'] +var_col = config['column_names']['var_name'] +val_col = config['column_names']['var_value'] +t_col = config['column_names']['t'] +hierarchical_sep = config['hierarchical_sep'] +hierarchical_levels = config['hierarchical_levels'] + +use_ordinal_encoding = config['use_ordinal_encoding'] +value_type_override = config['value_types'] + +parallel = True +n_jobs = 72 diff --git a/FIDDLE/config-default.yaml b/FIDDLE/config-default.yaml new file mode 100644 index 0000000..03d4389 --- /dev/null +++ b/FIDDLE/config-default.yaml @@ -0,0 +1,23 @@ +# Customize table headers +column_names: + ID: ID + t: t + var_name: variable_name + var_value: variable_value + +parallel: yes +n_jobs: 72 + +hierarchical_sep: ":" +hierarchical_levels: [0, 1, 2] + +discretize: yes +use_ordinal_encoding: no +discretization: ~ + +value_types: + # enter the feature type that you would like to override in the following format: + FIRST_WARDID: Categorical + MedA_AMOUNT: Numeric + MedA_ROUTE: Categorical + ICD9_CODE: hierarchical_ICD9 diff --git a/FIDDLE/config.py b/FIDDLE/config.py index 25fb05c..1f66d56 100644 --- a/FIDDLE/config.py +++ b/FIDDLE/config.py @@ -1,16 +1,27 @@ import os, yaml -with open(os.path.join(os.path.dirname(__file__), 'config.yaml')) as f: - config = yaml.full_load(f) +import copy -ID_col = config['column_names']['ID'] -var_col = config['column_names']['var_name'] -val_col = config['column_names']['var_value'] -t_col = config['column_names']['t'] -hierarchical_sep = config['hierarchical_sep'] -hierarchical_levels = config['hierarchical_levels'] +with open(os.path.join(os.path.dirname(__file__), 'config-default.yaml')) as f: + config_default = yaml.safe_load(f) -use_ordinal_encoding = config['use_ordinal_encoding'] -value_type_override = config['value_types'] +def get_config(fname): + config = copy.deepcopy(config_default) + if fname: + config_custom = yaml.safe_load(open(fname, 'r')) + for k, v in config_custom.items(): + config[k] = v + return config -parallel = True -n_jobs = 72 +ID_col = config_default['column_names']['ID'] +var_col = config_default['column_names']['var_name'] +val_col = config_default['column_names']['var_value'] +t_col = config_default['column_names']['t'] + +hierarchical_sep = config_default['hierarchical_sep'] +hierarchical_levels = config_default['hierarchical_levels'] +value_type_override = config_default['value_types'] + +use_ordinal_encoding = config_default['use_ordinal_encoding'] + +parallel = config_default['parallel'] +n_jobs = config_default['n_jobs'] diff --git a/FIDDLE/helpers.py b/FIDDLE/helpers.py index d2741b2..6c7507c 100644 --- a/FIDDLE/helpers.py +++ b/FIDDLE/helpers.py @@ -9,8 +9,10 @@ def str2bool(v): else: raise argparse.ArgumentTypeError('Boolean value expected.') - -from .config import * +try: + from .config import * +except: + from config import * import pandas as pd import numpy as np import scipy @@ -95,7 +97,8 @@ def get_unique_variables(df): return sorted(df[var_col].unique()) def get_frequent_numeric_variables(df_time_series, variables, threshold, args): - data_path = args.data_path +# data_path = args.data_path + data_path = args.output_dir df_population = args.df_population T, dt = args.T, args.dt diff --git a/FIDDLE/run-old.py b/FIDDLE/run-old.py new file mode 100755 index 0000000..7caf2f7 --- /dev/null +++ b/FIDDLE/run-old.py @@ -0,0 +1,112 @@ +from .config import * +import pickle +import pandas as pd +import numpy as np +import time +import os + +import argparse +from .helpers import str2bool + +parser = argparse.ArgumentParser(description='') +parser.add_argument('--T', type=float, required=True) +parser.add_argument('--dt', type=float, required=True) +parser.add_argument('--theta_1', type=float, default=0.001) +parser.add_argument('--theta_2', type=float, default=0.001) +parser.add_argument('--theta_freq', type=float, default=1.0) +parser.add_argument('--stats_functions', nargs='+', default=['min', 'max', 'mean']) +parser.add_argument('--binarize', type=str2bool, default=True, nargs='?', const=True) + +parser.add_argument('--data_path', type=str, required=True) +parser.add_argument('--input_fname', type=str, required=False) +parser.add_argument('--population', type=str, required=True) +parser.add_argument('--N', type=int, required=False) +parser.add_argument('--Ds', nargs='+', type=int) + +parser.add_argument('--no_prefilter', dest='prefilter', action='store_false') +parser.add_argument('--no_postfilter', dest='postfilter', action='store_false') +parser.set_defaults(prefilter=True, postfilter=True) + +args = parser.parse_args() + +data_path = args.data_path +if not data_path.endswith('/'): + data_path += '/' + +population = args.population +T = int(args.T) +dt = args.dt +theta_1 = args.theta_1 +theta_2 = args.theta_2 +theta_freq = args.theta_freq +stats_functions = args.stats_functions +binarize = args.binarize + +df_population = pd.read_csv(population).set_index('ID') +N = args.N or len(df_population) +df_population = df_population.iloc[:args.N] +L = int(np.floor(T/dt)) + +args.df_population = df_population +args.N = N +args.L = L +args.parallel = parallel + +if args.input_fname and os.path.isfile(args.input_fname): + input_fname = args.input_fname + if input_fname.endswith('.p' or '.pickle'): + df_data = pd.read_pickle(input_fname) + elif input_fname.endswith('.csv'): + df_data = pd.read_csv(input_fname) + else: + assert False +elif os.path.isfile(data_path + 'input_data.p'): + input_fname = data_path + 'input_data.p' + df_data = pd.read_pickle(input_fname) +elif os.path.isfile(data_path + 'input_data.pickle'): + input_fname = data_path + 'input_data.pickle' + df_data = pd.read_pickle(input_fname) +elif os.path.isfile(data_path + 'input_data.csv'): + input_fname = data_path + 'input_data.csv' + df_data = pd.read_csv(input_fname) +else: + raise NotImplementedError + + +from .steps import * + +print('Input data file:', input_fname) +print() +print('Input arguments:') +print(' {:<6} = {}'.format('T', T)) +print(' {:<6} = {}'.format('dt', dt)) +print(' {:<6} = {}'.format('\u03B8\u2081', theta_1)) +print(' {:<6} = {}'.format('\u03B8\u2082', theta_2)) +print(' {:<6} = {}'.format('\u03B8_freq', theta_freq)) +print(' {:<6} = {} {}'.format('k', len(stats_functions), stats_functions)) +print('{} = {}'.format('binarize', {False: 'no', True: 'yes'}[binarize])) +print() +print('N = {}'.format(N)) +print('L = {}'.format(L)) +print('', flush=True) + + +###### +# Main +###### +if args.prefilter: + print_header('1) Pre-filter') + df_data = pre_filter(df_data, theta_1, df_population, args) + df_data.to_csv(data_path + 'pre-filtered.csv', index=False) + +print_header('2) Transform; 3) Post-filter') +df_data, df_types = parse_variable_data_type(df_data, value_type_override, args) +df_time_invariant, df_time_series = split_by_timestamp_type(df_data) + +# Process time-invariant data +if len(df_time_invariant) > 0: + s, s_feature_names, s_feature_aliases = process_time_invariant(df_time_invariant, args) + +# Process time-dependent data +if len(df_time_series) > 0: + X, X_feature_names, X_feature_aliases = process_time_dependent(df_time_series, args) diff --git a/FIDDLE/run.py b/FIDDLE/run.py old mode 100755 new mode 100644 index 7caf2f7..75a0e3c --- a/FIDDLE/run.py +++ b/FIDDLE/run.py @@ -1,48 +1,77 @@ -from .config import * -import pickle import pandas as pd import numpy as np +import pickle import time import os - +import yaml import argparse -from .helpers import str2bool +try: + from .helpers import str2bool +except: + from helpers import str2bool + +try: + from .config import * +except: + from config import * + +## Parse user arguments parser = argparse.ArgumentParser(description='') + +# Files +parser.add_argument('--data_fname', type=str, required=True) +parser.add_argument('--population_fname',type=str, required=True) +parser.add_argument('--output_dir', type=str, required=True) +parser.add_argument('--config', type=str, required=False) + +# Settings parser.add_argument('--T', type=float, required=True) parser.add_argument('--dt', type=float, required=True) parser.add_argument('--theta_1', type=float, default=0.001) parser.add_argument('--theta_2', type=float, default=0.001) parser.add_argument('--theta_freq', type=float, default=1.0) parser.add_argument('--stats_functions', nargs='+', default=['min', 'max', 'mean']) -parser.add_argument('--binarize', type=str2bool, default=True, nargs='?', const=True) +# parser.add_argument('--binarize', type=str2bool, default=True, nargs='?', const=True) -parser.add_argument('--data_path', type=str, required=True) -parser.add_argument('--input_fname', type=str, required=False) -parser.add_argument('--population', type=str, required=True) +# Debug parser.add_argument('--N', type=int, required=False) parser.add_argument('--Ds', nargs='+', type=int) - parser.add_argument('--no_prefilter', dest='prefilter', action='store_false') parser.add_argument('--no_postfilter', dest='postfilter', action='store_false') parser.set_defaults(prefilter=True, postfilter=True) args = parser.parse_args() -data_path = args.data_path + +## Load files +data_fname = args.data_fname +if data_fname.endswith('.p' or '.pickle'): + df_data = pd.read_pickle(data_fname) +elif data_fname.endswith('.csv'): + df_data = pd.read_csv(data_fname) +else: + raise NotImplementedError + +df_population = pd.read_csv(args.population_fname).set_index('ID') + +config = get_config(args.config) + + +## Backwards compatible arguments settings +data_path = args.output_dir if not data_path.endswith('/'): data_path += '/' -population = args.population T = int(args.T) dt = args.dt theta_1 = args.theta_1 theta_2 = args.theta_2 theta_freq = args.theta_freq stats_functions = args.stats_functions -binarize = args.binarize +# binarize = args.binarize +binarize = args.binarize = config['discretize'] -df_population = pd.read_csv(population).set_index('ID') N = args.N or len(df_population) df_population = df_population.iloc[:args.N] L = int(np.floor(T/dt)) @@ -50,32 +79,55 @@ L = int(np.floor(T/dt)) args.df_population = df_population args.N = N args.L = L -args.parallel = parallel - -if args.input_fname and os.path.isfile(args.input_fname): - input_fname = args.input_fname - if input_fname.endswith('.p' or '.pickle'): - df_data = pd.read_pickle(input_fname) - elif input_fname.endswith('.csv'): - df_data = pd.read_csv(input_fname) - else: - assert False -elif os.path.isfile(data_path + 'input_data.p'): - input_fname = data_path + 'input_data.p' - df_data = pd.read_pickle(input_fname) -elif os.path.isfile(data_path + 'input_data.pickle'): - input_fname = data_path + 'input_data.pickle' - df_data = pd.read_pickle(input_fname) -elif os.path.isfile(data_path + 'input_data.csv'): - input_fname = data_path + 'input_data.csv' - df_data = pd.read_csv(input_fname) -else: - raise NotImplementedError +args.parallel = config['parallel'] +args.n_jobs = config['n_jobs'] + + +args.ID_col = config['column_names']['ID'] +args.var_col = config['column_names']['var_name'] +args.val_col = config['column_names']['var_value'] +args.t_col = config['column_names']['t'] + +hierarchical_sep = config['hierarchical_sep'] +hierarchical_levels = config['hierarchical_levels'] +value_type_override = config['value_types'] + +use_ordinal_encoding = config['use_ordinal_encoding'] + +parallel = True +n_jobs = 72 + +print('Done') +# print(config) +# print(df_population) +# print(df_data) +# # exit() + + +# if args.input_fname and os.path.isfile(args.input_fname): +# input_fname = args.input_fname +# if input_fname.endswith('.p' or '.pickle'): +# df_data = pd.read_pickle(input_fname) +# elif input_fname.endswith('.csv'): +# df_data = pd.read_csv(input_fname) +# else: +# assert False +# elif os.path.isfile(data_path + 'input_data.p'): +# input_fname = data_path + 'input_data.p' +# df_data = pd.read_pickle(input_fname) +# elif os.path.isfile(data_path + 'input_data.pickle'): +# input_fname = data_path + 'input_data.pickle' +# df_data = pd.read_pickle(input_fname) +# elif os.path.isfile(data_path + 'input_data.csv'): +# input_fname = data_path + 'input_data.csv' +# df_data = pd.read_csv(input_fname) +# else: +# raise NotImplementedError from .steps import * -print('Input data file:', input_fname) +print('Input data file:', args.data_fname) print() print('Input arguments:') print(' {:<6} = {}'.format('T', T)) @@ -84,7 +136,7 @@ print(' {:<6} = {}'.format('\u03B8\u2081', theta_1)) print(' {:<6} = {}'.format('\u03B8\u2082', theta_2)) print(' {:<6} = {}'.format('\u03B8_freq', theta_freq)) print(' {:<6} = {} {}'.format('k', len(stats_functions), stats_functions)) -print('{} = {}'.format('binarize', {False: 'no', True: 'yes'}[binarize])) +print('{} = {}'.format('binarize', {False: 'no', True: 'yes'}[args.binarize])) print() print('N = {}'.format(N)) print('L = {}'.format(L)) diff --git a/FIDDLE/steps.py b/FIDDLE/steps.py index 7ad4ba4..2115df1 100644 --- a/FIDDLE/steps.py +++ b/FIDDLE/steps.py @@ -4,7 +4,10 @@ FIDDLE Preprocessing steps 2. Transform 3. Post-filter """ -from .helpers import * +try: + from .helpers import * +except: + from helpers import * import time import json import joblib @@ -59,7 +62,8 @@ def parse_variable_data_type(df_data, value_type_override, args): # 1. parse hierarchical values (e.g. ICD codes) into strings # 2. automatically detect value types, respecting user override, and set dtypes in DataFrames # 3. pre-map duplicated non-numerical values into multiple categorical variables - data_path = args.data_path +# data_path = args.data_path + data_path = args.output_dir df = df_data assert val_col in df.columns print_header('*) Detecting and parsing value types', char='-') @@ -165,7 +169,8 @@ def split_by_timestamp_type(df): def process_time_invariant(df_data_time_invariant, args): - data_path = args.data_path +# data_path = args.data_path + data_path = args.output_dir df_population = args.df_population theta_2 = args.theta_2 @@ -207,7 +212,8 @@ def process_time_invariant(df_data_time_invariant, args): def process_time_dependent(df_data_time_series, args): - data_path = args.data_path +# data_path = args.data_path + data_path = args.output_dir theta_2 = args.theta_2 print_header('2-B) Transform time-dependent data', char='-') @@ -219,8 +225,8 @@ def process_time_dependent(df_data_time_series, args): print('Time elapsed: %f seconds' % (time.time() - start_time)) ############## - joblib.dump(df_time_series, args.data_path + 'df_time_series.joblib') - joblib.dump(dtypes_time_series, args.data_path + 'dtypes_time_series.joblib') + joblib.dump(df_time_series, data_path + 'df_time_series.joblib') + joblib.dump(dtypes_time_series, data_path + 'dtypes_time_series.joblib') ############## ## Map variables to features @@ -385,7 +391,8 @@ def process_batch_time_series(first_arg): return out def transform_time_series_table(df_in, args): - data_path = args.data_path +# data_path = args.data_path + data_path = args.output_dir theta_freq = args.theta_freq stats_functions = args.stats_functions N, L = args.N, args.L diff --git a/FIDDLE/steps_2.py b/FIDDLE/steps_2.py new file mode 100644 index 0000000..4e3af81 --- /dev/null +++ b/FIDDLE/steps_2.py @@ -0,0 +1,638 @@ +""" +FIDDLE Preprocessing steps +1. Pre-filter +2. Transform +3. Post-filter +""" +try: + from helpers import * +except: + from .helpers import * +import time +import json +import pickle5 as pickle +import joblib +from datetime import datetime +import multiprocessing + +# import pickle4reducer +# import multiprocessing +# ctx = multiprocessing.get_context() +# ctx.reducer = pickle4reducer.Pickle4Reducer() + +def detect_variable_data_type(df_data, value_type_override, args): + data_path = args.data_path + print_header('*) Detecting value types', char='-') + + data_types = [] + df = df_data + assert val_col in df.columns + + # Collect the unique values of each variable + # values_by_variable: dict(variable_name -> [value1, value2, ...]) + d = df[[var_col, val_col]].drop_duplicates().sort_values(by=[var_col, val_col]) + values_by_variable = defaultdict(list) + for n,v in zip(d[var_col], d[val_col]): + values_by_variable[n].append(v) + + # Determine type of each variable + for variable, values in sorted(values_by_variable.items()): + # Manual override type in config + if variable in value_type_override: + data_types.append((variable, value_type_override[variable])) + # Force categorical values to be a string + if value_type_override[variable] == 'Categorical' and \ + any(is_numeric(v) for v in values if not pd.isnull(v)): + m_var = df[var_col] == variable + df.loc[m_var, val_col] = df.loc[m_var, val_col].apply(lambda s: '_' + str(s)) + else: + if len(values) == 1 and pd.isnull(values[0]): + data_types.append((variable, 'None')) + elif all(is_numeric(v) for v in values if not pd.isnull(v)): + data_types.append((variable, 'Numeric')) + elif any(is_numeric(v) for v in values if not pd.isnull(v)): + data_types.append((variable, 'Numeric + Categorical')) + else: + data_types.append((variable, 'Categorical')) + + df_types = pd.DataFrame(data_types, columns=['variable_name', 'value_type']) + df_types[var_col] = df_types[var_col].astype(str) + df_types = df_types.set_index(var_col) + fpath = data_path + 'value_types.csv' + df_types.to_csv(fpath, quoting=1) + print('Saved as:', fpath) + return df, df_types['value_type'] + + +def split_by_timestamp_type(df): + print_header('*) Separate time-invariant and time-dependent', char='-') + + variables_inv = df[pd.isnull(df[t_col])][var_col].unique() # Invariant variables have t = NULL + df_time_invariant = df[df[var_col].isin(variables_inv)] + df_time_series = df[~df[var_col].isin(variables_inv)] + + print('Variables (time-invariant):', len(variables_inv)) + print('Variables (time-dependent):', df[var_col].nunique() - len(variables_inv)) + print('# rows (time-invariant):', len(df_time_invariant)) + print('# rows (time-dependent):', len(df_time_series)) + return df_time_invariant, df_time_series + + +def process_time_dependent(df_data_time_series, args): + data_path = args.data_path + theta_2 = args.theta_2 + + print_header('2-B) Transform time-dependent data', char='-') + dir_path = data_path + '/' + start_time = time.time() + + ## Create NxLxD^ table + df_time_series, dtypes_time_series = transform_time_series_table(df_data_time_series, args) + print('Time elapsed: %f seconds' % (time.time() - start_time), flush=True) + + ############## + joblib.dump(df_time_series, args.data_path + 'df_time_series,{}.joblib'.format(datetime.now().isoformat())) + joblib.dump(dtypes_time_series, args.data_path + 'dtypes_time_series,{}.joblib'.format(datetime.now().isoformat())) + ############## + + ## Map variables to features + X_all, X_all_feature_names = map_time_series_features(df_time_series, dtypes_time_series, args) + sparse.save_npz(dir_path + 'X_all.npz', X_all) + with open(dir_path + 'X_all.feature_names.json', 'w') as f: + json.dump(list(X_all_feature_names), f, sort_keys=True) + print('Time elapsed: %f seconds' % (time.time() - start_time), flush=True) + + ## Filter features + if not args.postfilter: + return X_all, X_all_feature_names, {} + print_header('3-B) Post-filter time-dependent data', char='-') + print(X_all.shape, X_all.density) + X, X_feature_names, X_feature_aliases = post_filter_time_series(X_all, X_all_feature_names, theta_2, args) + print(X.shape, X.density) + print('Time elapsed: %f seconds' % (time.time() - start_time)) + + ## Save output + print() + print('Output') + print('X: shape={}, density={:.3f}'.format(X.shape, X.density)) + sparse.save_npz(dir_path + 'X.npz', X) + with open(dir_path + 'X.feature_names.json', 'w') as f: + json.dump(list(X_feature_names), f, sort_keys=True) + with open(dir_path + 'X.feature_aliases.json', 'w') as f: + json.dump(X_feature_aliases, f, sort_keys=True) + + print('Total time: %f seconds' % (time.time() - start_time)) + print('', flush=True) + return X, X_feature_names, X_feature_aliases + +###### +# Time-series routines +###### +def func_encode_single_time_series(i, g, variables, variables_num_freq, T, dt, stats_functions, impute=True): + try: + assert g.index.nunique() == 1 + assert g.index.unique()[0] == i + # non-frequent + variables_non = sorted(set(variables) - set(variables_num_freq)) + if len(variables_non) > 0: + df_j = pivot_event_table(g).reindex(columns=variables_non).sort_index() + df_values_j = most_recent_values(df_j, variables, T, dt) + df_out = df_values_j + + if len(variables_num_freq) > 0: + # frequent + # we're only producing mask, ffill, and statistics if the data is measured frequently enough + df_i = pivot_event_table(g).reindex(columns=variables_num_freq).sort_index() + mask_i = presence_mask(df_i, variables_num_freq, T, dt) +# delta_t_i = get_delta_time(mask_i) +# df_i = impute_ffill(df_i, variables_num_freq, T, dt, mask_i) + df_stats_i = summary_statistics(df_i, variables_num_freq, stats_functions, T, dt) + df_values_i = most_recent_values(df_i, variables, T, dt) +# if impute: +# check_imputed_output(df_values_i) +# check_imputed_output(df_stats_i) + if len(variables_non) > 0: + df_out = df_out.join([mask_i, df_values_i, df_stats_i]) + else: + df_out = mask_i.join([df_values_i, df_stats_i]) +# df_out = df_out.join([mask_i, delta_t_i, df_values_i, df_stats_i]) + except: + print(i) + print(g) + raise + return i, df_out + +def divide_chunks(l, n): + # looping till length l + for i in range(0, len(l), n): + yield l[i:i + n] + +def form_batches_of_examples(df_in, args, batch_size=1000): + grouped = df_in.set_index(ID_col) + IDs = list(grouped.index.unique()) + batches_IDs = list(divide_chunks(IDs, batch_size)) + batches = [grouped.loc[chunk] for chunk in batches_IDs] + return batches, batches_IDs + +def process_batch_time_series(first_arg): + batch, batch_IDs, args = first_arg + variables, variables_num_freq = args.variables, args.variables_num_freq + out = dict( + func_encode_single_time_series(i, batch.loc[i:i], variables, variables_num_freq, args.T, args.dt, args.stats_functions) + for i in batch_IDs + ) + return out + +def transform_time_series_table(df_in, args): + data_path = args.data_path + theta_freq = args.theta_freq + stats_functions = args.stats_functions + N, L = args.N, args.L + df_population = args.df_population + parallel = args.parallel + + ## TODO: asserts shape of df_in + + # Determine all unique variable names + variables = args.variables +# variables = get_unique_variables(df_in) ############ +# assert df_in[var_col].nunique() == len(variables) + print('Total variables :', len(variables)) + + # Determine frequent variables -> we'll calculate statistics, mask, and delta_time only on these + variables_num_freq = args.variables_num_freq +# variables_num_freq = get_frequent_numeric_variables(df_in, variables, theta_freq, args) + print('Frequent variables :', list(variables_num_freq)) + print('{} = {}'.format('M\u2081', len(variables_num_freq))) + print('{} = {}'.format('M\u2082', len(variables) - len(variables_num_freq))) + print('{} = {} {}'.format('k ', len(stats_functions), stats_functions)) + + print() + print('Transforming each example...') + args.variables = variables + args.variables_num_freq = variables_num_freq + + # Encode time series table for each patient + batches, batches_IDs = form_batches_of_examples(df_in, args, batch_size=1000) + print('Batches of size 1000: ', len(batches)) + pool = multiprocessing.Pool(multiprocessing.cpu_count()) + out = list(tqdm(pool.imap_unordered( + process_batch_time_series, + zip(batches, batches_IDs, [args]*len(batches))), total=len(batches) + )) + pool.close() + pool.join() + + out = dict((key, d[key]) for d in out for key in d) + print() + print('Parallel processing done', flush=True) + + # Handle IDs not in the table +# df_original = list(out.values())[0] +# df_copy = pd.DataFrame().reindex_like(df_original) +# for i, j in df_original.dtypes.iteritems(): +# if i.endswith('_mask'): +# assert j == bool +# df_copy[i] = False +# df_copy[i] = df_copy[i].astype(bool) +# if i.endswith('_delta_time'): +# df_copy[i] = 0 +# df_copy[i] = df_copy[i].astype(int) +# if j == 'object': +# df_copy[i] = df_copy[i].astype('object') + +# for ID in tqdm(df_population.index.values[:N]): +# if ID not in out: +# out[ID] = df_copy.copy() + +# out = {ID: out[ID] for ID in df_population.index.values} + N = len(out) +# assert len(out) == N + D_timeseries = out + + print('Filled no-data examples done', flush=True) +# # check each example have identical LxD table structure +# ID0 = sorted(D_timeseries.keys())[0] +# df0 = D_timeseries[ID0] +# for ID, df_i in D_timeseries.items(): +# pd.testing.assert_index_equal(df_i.index, df0.index) +# pd.testing.assert_index_equal(df_i.columns, df0.columns) + + D_timeseries = out + D_ = len(list(D_timeseries.values())[0].columns) + + ######## + joblib.dump(D_timeseries, args.data_path + 'D_timeseries,{}.joblib'.format(datetime.now().isoformat())) + ######## + + # (N*L)xD^ table + ## Create MultiIndex of (ID, time_bin) + index = sum([ + [(ID, t_) for t_ in list(df_.index)] + for ID, df_ in sorted(D_timeseries.items()) + ], []) + index = pd.Index(index) +# assert len(index) == N * L + + ## Assume all dataframes have the same columns, used after concatenation + columns = list(sorted(D_timeseries.items())[0][1].columns) + columns = np.array(columns) + dtypes = sorted(D_timeseries.items())[0][1].dtypes + + ## Convert each df to a numpy array + ## Concatenate **sorted** numpy arrays (faster than calling pd.concat) + feature_values = [(ID, df_.to_numpy()) for ID, df_ in sorted(D_timeseries.items())] + time_series = np.concatenate([feat_val[1] for feat_val in feature_values]) +# assert time_series.shape == (len(index), len(columns)) + + df_time_series = pd.DataFrame(data=time_series, index=index, columns=columns) + + print() + print('(N \u00D7 L \u00D7 ^D) table :\t', (N, L, len(columns))) + return df_time_series, dtypes + +def map_time_invariant_features(df, bin_numeric=True): + # Categorical -> binary features + # Numeric -> binary/float-valued features + if bin_numeric: +# df_mixed = df.apply(smart_qcut, q=5) +# features_mixed = pd.get_dummies(df_mixed, columns=df_mixed.columns, prefix_sep=':') +# time_invariant_features = features_mixed +# assert time_invariant_features.astype(int).dtypes.nunique() == 1 + print('start discretization', flush=True) +# out = [smart_qcut_dummify(df[col], q=5) for col in tqdm(df.columns)] + +# pool = multiprocessing.Pool(multiprocessing.cpu_count()) +# out = list(tqdm(pool.imap_unordered( +# smart_qcut_dummify_5, +# [df[col] for col in tqdm(df.columns)]), total=len(df.columns) +# )) +# pool.close() +# pool.join() + + pool = multiprocessing.Pool(multiprocessing.cpu_count()) + out_0 = list(tqdm(pool.imap_unordered( + smart_qcut, + [df[col] for col in df.columns]), total=len(df.columns) + )) + cols_data, discretization_bins = zip(*out_0) + out = list(tqdm(pool.imap_unordered(dummify, cols_data), total=len(df.columns) + )) + pool.close() + pool.join() + + time_invariant_features = pd.concat(out, axis=1).sort_index(axis=1) + feature_names_all = time_invariant_features.columns.values + sdf = time_invariant_features.astype(pd.SparseDtype(int, fill_value=0)) + s_ = sparse.COO(sdf.sparse.to_coo()) + else: + raise NotImplemented + # Split a mixed column into numeric and string columns + for col in df.columns: + col_data = df[col] + col_is_numeric = [is_numeric(v) for v in col_data if not pd.isnull(v)] + if not all(col_is_numeric) and any(col_is_numeric): # have mixed type values + numeric_mask = col_data.apply(is_numeric) + df[col+'_str'] = df[col].copy() + df.loc[~numeric_mask, col] = np.nan + df.loc[numeric_mask, col+'_str'] = np.nan + + out = [smart_dummify_impute(df[col]) for col in tqdm(df.columns)] + time_invariant_features = pd.concat(out, axis=1) + feature_names_all = time_invariant_features.columns.values + sdf = time_invariant_features.astype(pd.SparseDtype(float, fill_value=0)) + s_ = sparse.COO(sdf.sparse.to_coo()) + + print() + print('Output') + print('s_all, binary features :\t', s_.shape) + return s_, feature_names_all, dict(discretization_bins) + +########## + +def map_time_series_features(df_time_series, dtypes, args): + N, L = args.N, args.L + + df_time_series = df_time_series.dropna(axis='columns', how='all').sort_index() + + print('Discretizing features...', flush=True) + ts_mask = select_dtype(df_time_series, 'mask', dtypes) + ts_mixed = select_dtype(df_time_series, '~mask', dtypes) + assert len(ts_mixed.columns) + len(ts_mask.columns) == len(df_time_series.columns) + ts_feature_mask = ts_mask.astype(int) + ts_mixed_cols = [ts_mixed[col] for col in ts_mixed.columns] + + print() + if args.binarize: + dtype = int + print('Processing', len(ts_mixed_cols), 'non-boolean variable columns...') + + print(' Binning numeric variables by quintile...') + print(' Converting variables to binary features') + if parallel: +# out = Parallel(n_jobs=n_jobs, verbose=10)( # Need to share global variables +# delayed(smart_qcut_dummify)(col_data, q=5) for col_data in ts_mixed_cols +# ) +# out = [smart_qcut_dummify(col_data, q=5) for col_data in tqdm(ts_mixed_cols)] + + pool = multiprocessing.Pool(multiprocessing.cpu_count()) + out_0 = pool.starmap(smart_qcut, ts_mixed_cols) + cols_data, discretization_bins = zip(out_0) + out = pool.starmap(dummify, cols_data) + pool.close() + pool.join() + else: + out = [smart_qcut_dummify(col_data, q=5) for col_data in tqdm(ts_mixed_cols)] + else: + raise NotImplemented + dtype = float + df = ts_mixed.copy() + + # Split a mixed column into numeric and string columns + for col in df.columns: + col_data = df[col] + col_is_numeric = [is_numeric(v) for v in col_data if not pd.isnull(v)] + if not all(col_is_numeric) and any(col_is_numeric): # have mixed type values + numeric_mask = col_data.apply(is_numeric) + df[col+'_str'] = df[col].copy() + df.loc[~numeric_mask, col] = np.nan + df.loc[numeric_mask, col+'_str'] = np.nan + + ts_mixed_cols = [df[col] for col in df.columns] + + print('Discretizing categorical features...') + if parallel: +# out = Parallel(n_jobs=n_jobs, verbose=10)( # Need to share global variables? +# delayed(smart_dummify_impute)(col_data) for col_data in ts_mixed_cols +# ) + out = [smart_dummify_impute(col_data) for col_data in tqdm(ts_mixed_cols)] + else: + out = [smart_dummify_impute(col_data) for col_data in tqdm(ts_mixed_cols)] + + out = [ts_feature_mask, *out] + D_all = sum(len(df_i.columns) for df_i in out) + X_all_feature_names = np.asarray(sum([list(df_i.columns) for df_i in out], [])) + X_dense = np.concatenate([df_i.values for df_i in out], axis=1).astype(dtype) + X_all = sparse.COO(X_dense) + + print('Finished discretizing features', flush=True) + assert X_all.shape[0] == N * L + X_all = X_all.reshape((N, L, D_all)) + + print() + print('Output') + print('X_all: shape={}, density={:.3f}'.format(X_all.shape, X_all.density)) + return X_all, X_all_feature_names, dict(discretization_bins) + + +def print_metadata(): + # Print metadata + print('DONE: Transforming each example...') + ## Freq: Count missing entries using mask + ts_mask = df_time_series[[col for col in df_time_series if col.endswith('_mask')]] + ts_mask.columns = [col.replace('_mask', '') for col in ts_mask.columns] + print('(freq) number of missing entries :\t', + '{} out of {}={} total'.format( + (1-ts_mask).astype(int).sum().sum(), + '\u00D7'.join(str(i) for i in [N,L,ts_mask.shape[1]]), ts_mask.size)) + + ## Freq: Count imputed entries using mask and dt + ts_delta_time = df_time_series[[col for col in df_time_series if col.endswith('_delta_time')]] + ts_delta_time.columns = [col.replace('_delta_time', '') for col in ts_delta_time.columns] + + imputed = (1-ts_mask).astype(bool) & (ts_delta_time > 0) + print('(freq) number of imputed entries :\t', + '{}'.format(imputed.sum().sum(), ts_delta_time.size)) + imputed.sum().rename('count').to_csv(data_path + '/' + 'freq_imputed.csv') + + not_imputed = (1-ts_mask).astype(bool) & (ts_delta_time == 0) + print('(freq) number of not imputed entries :\t', + '{}'.format(not_imputed.sum().sum(), ts_delta_time.size)) + not_imputed.sum().rename('count').to_csv(data_path + '/' + 'freq_not_imputed.csv') + + ## Non-Freq: Count missing entries + non_freq_cols = sorted([c + '_value' for c in set(variables) - set(variables_num_freq)]) + non_freqs = df_time_series[non_freq_cols] + print('(non-freq) number of missing entries :\t', + '{} out of {}={} total'.format( + non_freqs.isna().sum().sum(), + '\u00D7'.join(str(i) for i in [N,L,non_freqs.shape[1]]), non_freqs.size)) + + +def post_filter_time_series(X_all, feature_names_all, threshold, args): + N, L = args.N, args.L + assert X_all.shape[0] == N + assert X_all.shape[1] == L +# assert X_all.dtype == int + start_time = time.time() + + X0 = X_all + feature_names_0 = feature_names_all + print('Original :', len(feature_names_0)) + + ## Remove nearly-constant features (with low variance) + sel_const = FrequencyThreshold_temporal(threshold=threshold, L=L) + sel_const.fit(X0.reshape((N*L, -1))) + m_ts_const = sel_const.get_support() + assert len(m_ts_const) == X0.shape[-1] + X1 = X0[:, :, m_ts_const] + feature_names_1 = feature_names_0[m_ts_const] + print('Nearly-constant:', len(feature_names_0) - len(feature_names_1)) + print('*** time: ', time.time() - start_time) + + ## Keep only first of pairwise perfectly correlated features + sel_ts_corr = CorrelationSelector() + sel_ts_corr.fit(X1.reshape((N*L, -1))) + m_ts_corr = sel_ts_corr.get_support() + assert len(m_ts_corr) == X1.shape[-1] + X2 = X1[:, :, m_ts_corr] + feature_names_2 = feature_names_1[m_ts_corr] + feature_aliases = sel_ts_corr.get_feature_aliases(feature_names_1) + print('Correlated :', len(feature_names_1) - len(feature_names_2)) + print('*** time: ', time.time() - start_time) + + X = sparse.COO(X2) + feature_names = feature_names_2 + assert X.shape == (N, L, len(feature_names)) + + ## Save output + print() + print('Output') + print('X: shape={}, density={:.3f}'.format(X.shape, X.density)) + + return X, feature_names, feature_aliases + + +def pre_filter(df, threshold, df_population, args): + T = int(args.T) + theta_1 = args.theta_1 + df_population = args.df_population + + # Remove rows not in population + print('Remove rows not in population') + df = df[df['ID'].isin(df_population.index)] + + # Remove rows with t outside of [0, T) + print('Remove rows with t outside of [0, {}]'.format(T)) + df = df[pd.isnull(df[t_col]) | ((0 <= df[t_col]) & (df[t_col] < T))] + + # Data tables should not contain duplicate rows + # Check for inconsistencies + dups = df.duplicated(subset=[ID_col, t_col, var_col], keep=False) + if any(dups): + print(df[dups].head()) + raise Exception('Inconsistent values recorded') + + # Remove variables that occur too rarely as defined by the threshold + print('Remove rare variables (<= {})'.format(threshold)) + + ## Calculate overall occurrence rate of each variable based on IDs + df_count = calculate_variable_counts(df, df_population) # (N x |var|) table of counts + df_bool = df_count.astype(bool) # convert counts to boolean + + ## Keep variables that are recorded for more than threshold fraction of IDs + variables_keep = df_bool.columns[df_bool.mean(axis=0) > threshold] + df_out = df[df[var_col].isin(variables_keep)] + assert set(variables_keep) == set(df_out[var_col].unique()) + + variables = sorted(df_bool.columns) + variables_remove = sorted(set(variables) - set(variables_keep)) + print('Total variables :', len(variables)) + print('Rare variables :', len(variables_remove)) + print('Remaining variables :', len(variables_keep)) + print('# rows (original) :', len(df)) + print('# rows (filtered) :', len(df_out)) + return df_out + + + +###### +# Time-invariant routines +###### +def transform_time_invariant_table(df_in, df_population): + df_in = df_in.copy() + + # Recorded Value (np.nan if not recorded) + df_value = pd.pivot_table(df_in, val_col, ID_col, var_col, 'last', np.nan) + df_value = df_value.reindex(index=df_population.index, fill_value=np.nan) + df_value.columns = [str(col) + '_value' for col in df_value.columns] + + print('(N \u00D7 ^d) table :\t', df_value.shape) + print('number of missing entries :\t', '{} out of {} total'.format(df_value.isna().sum().sum(), df_value.size)) + return df_value + +def smart_qcut_dummify_5(x): + return smart_qcut_dummify(x, q=5) + + +def post_filter(s_, s_feature_names_all, threshold): + # Filter features (optional) + assert s_.shape[1] == len(s_feature_names_all) + feature_names_0 = s_feature_names_all + s0 = s_.to_scipy_sparse() + print('Original :', len(feature_names_0)) + + ## Remove nearly-constant features (with low variance) + ## a binary feature is removed if =0 (or =1) for >th fraction of examples + ## i.e., variance <= (th * (1 - th)) + sel_rare = VarianceThreshold(threshold=(threshold * (1 - threshold))) + s1 = sel_rare.fit_transform(s0) + feature_names_1 = feature_names_0[sel_rare.get_support()] + print('Nearly-constant:', len(feature_names_0) - len(feature_names_1)) + + ## Keep only first of pairwise perfectly correlated features + sel_corr = CorrelationSelector() + s2 = sel_corr.fit_transform(s1) + feature_names_2 = feature_names_1[sel_corr.get_support()] + feature_aliases = sel_corr.get_feature_aliases(feature_names_1) + print('Correlated :', len(feature_names_1) - len(feature_names_2)) + + s = sparse.COO(s2) + feature_names = feature_names_2 + assert s.shape[1] == len(feature_names) + + return s, feature_names, feature_aliases + + +def process_time_invariant(df_data_time_invariant, args): + data_path = args.data_path + df_population = args.df_population + theta_2 = args.theta_2 + + print_header('2-A) Transform time-invariant data', char='-') + dir_path = data_path + '/' + start_time = time.time() + + ## Create Nxd^ table + df_time_invariant = transform_time_invariant_table(df_data_time_invariant, df_population) + print('Time elapsed: %f seconds' % (time.time() - start_time)) + + ## Discretize + s_all, s_all_feature_names, s_discretization = map_time_invariant_features(df_time_invariant, args.binarize) + sparse.save_npz(dir_path + 's_all.npz', s_all) + with open(dir_path + 's_all.feature_names.json', 'w') as f: + json.dump(list(s_all_feature_names), f, sort_keys=True) + print('Time elapsed: %f seconds' % (time.time() - start_time)) + json.dump(s_discretization, open(dir_path + 'discretization.json', 'w')) + + print_header('3-A) Post-filter time-invariant data', char='-') + + ## Filter + s, s_feature_names, s_feature_aliases = post_filter(s_all, s_all_feature_names, theta_2) + print('Time elapsed: %f seconds' % (time.time() - start_time)) + + ## Save output + print() + print('Output') + print('s: shape={}, density={:.3f}'.format(s.shape, s.density)) + sparse.save_npz(dir_path + 's.npz', s) + + with open(dir_path + 's.feature_names.json', 'w') as f: + json.dump(list(s_feature_names), f, sort_keys=True) + with open(dir_path + 's.feature_aliases.json', 'w') as f: + json.dump(s_feature_aliases, f, sort_keys=True) + + print('Total time: %f seconds' % (time.time() - start_time)) + print('', flush=True) + return s, s_feature_names, s_feature_aliases + -- GitLab From 13d49239a0ae7ecd55510698e4c5c7a77a30607b Mon Sep 17 00:00:00 2001 From: Shengpu Tang Date: Sat, 9 May 2020 15:42:48 -0400 Subject: [PATCH 03/28] Update run.py --- FIDDLE/run.py | 51 +++++++++++++++++++++------------------------------ 1 file changed, 21 insertions(+), 30 deletions(-) diff --git a/FIDDLE/run.py b/FIDDLE/run.py index 75a0e3c..5df5acd 100644 --- a/FIDDLE/run.py +++ b/FIDDLE/run.py @@ -16,14 +16,17 @@ try: except: from config import * -## Parse user arguments + +###### +# User arguments +###### parser = argparse.ArgumentParser(description='') # Files parser.add_argument('--data_fname', type=str, required=True) parser.add_argument('--population_fname',type=str, required=True) parser.add_argument('--output_dir', type=str, required=True) -parser.add_argument('--config', type=str, required=False) +parser.add_argument('--config_fname', type=str, required=False) # Settings parser.add_argument('--T', type=float, required=True) @@ -44,7 +47,10 @@ parser.set_defaults(prefilter=True, postfilter=True) args = parser.parse_args() -## Load files +###### +# Load files +###### + data_fname = args.data_fname if data_fname.endswith('.p' or '.pickle'): df_data = pd.read_pickle(data_fname) @@ -55,7 +61,7 @@ else: df_population = pd.read_csv(args.population_fname).set_index('ID') -config = get_config(args.config) +config = get_config(args.config_fname) ## Backwards compatible arguments settings @@ -69,7 +75,6 @@ theta_1 = args.theta_1 theta_2 = args.theta_2 theta_freq = args.theta_freq stats_functions = args.stats_functions -# binarize = args.binarize binarize = args.binarize = config['discretize'] N = args.N or len(df_population) @@ -97,37 +102,23 @@ use_ordinal_encoding = config['use_ordinal_encoding'] parallel = True n_jobs = 72 -print('Done') +# print('Done') # print(config) # print(df_population) # print(df_data) # # exit() +try: + from .steps import * +except: + from steps import * -# if args.input_fname and os.path.isfile(args.input_fname): -# input_fname = args.input_fname -# if input_fname.endswith('.p' or '.pickle'): -# df_data = pd.read_pickle(input_fname) -# elif input_fname.endswith('.csv'): -# df_data = pd.read_csv(input_fname) -# else: -# assert False -# elif os.path.isfile(data_path + 'input_data.p'): -# input_fname = data_path + 'input_data.p' -# df_data = pd.read_pickle(input_fname) -# elif os.path.isfile(data_path + 'input_data.pickle'): -# input_fname = data_path + 'input_data.pickle' -# df_data = pd.read_pickle(input_fname) -# elif os.path.isfile(data_path + 'input_data.csv'): -# input_fname = data_path + 'input_data.csv' -# df_data = pd.read_csv(input_fname) -# else: -# raise NotImplementedError - - -from .steps import * - -print('Input data file:', args.data_fname) +print('Input:') +print(' Data :', args.data_fname) +print(' Population:', args.population_fname) +print(' Config :', args.config_fname) +print() +print('Output directory:', args.output_dir) print() print('Input arguments:') print(' {:<6} = {}'.format('T', T)) -- GitLab From 0d352e621da47db8362fcd2d6819bb4b328a7e5e Mon Sep 17 00:00:00 2001 From: Shengpu Tang Date: Sat, 9 May 2020 20:01:30 -0400 Subject: [PATCH 04/28] clean up args and config --- FIDDLE/config.py | 54 +++++++++++++++++++++++------ FIDDLE/helpers.py | 6 ++-- FIDDLE/run.py | 60 ++++++++++++++++----------------- FIDDLE/steps.py | 86 ++++++++++++++++++++++------------------------- 4 files changed, 117 insertions(+), 89 deletions(-) diff --git a/FIDDLE/config.py b/FIDDLE/config.py index 1f66d56..2d75387 100644 --- a/FIDDLE/config.py +++ b/FIDDLE/config.py @@ -4,24 +4,56 @@ import copy with open(os.path.join(os.path.dirname(__file__), 'config-default.yaml')) as f: config_default = yaml.safe_load(f) -def get_config(fname): +def load_config(fname): +# global ID_col, t_col, var_col, val_col +# global hierarchical_sep, hierarchical_levels, value_type_override +# global discretize, use_ordinal_encoding +# global parallel, n_jobs + config = copy.deepcopy(config_default) if fname: config_custom = yaml.safe_load(open(fname, 'r')) for k, v in config_custom.items(): config[k] = v + +# if 'column_names' in config_custom: +# ID_col = config_custom['column_names'].get('ID', ID_col) +# t_col = config_custom['column_names'].get('t', t_col) +# var_col = config_custom['column_names'].get('var_name', var_col) +# val_col = config_custom['column_names'].get('var_value', val_col) + +# hierarchical_sep = config_custom.get('hierarchical_sep', hierarchical_sep) +# hierarchical_levels = config_custom.get('hierarchical_levels', hierarchical_levels) +# value_type_override = config_custom.get('value_types', value_type_override) + +# discretize = config_custom.get('discretize', True) +# use_ordinal_encoding = config_custom.get('use_ordinal_encoding', use_ordinal_encoding) + +# parallel = config_custom.get('parallel', parallel) +# n_jobs = config_custom.get('n_jobs', n_jobs) + return config -ID_col = config_default['column_names']['ID'] -var_col = config_default['column_names']['var_name'] -val_col = config_default['column_names']['var_value'] -t_col = config_default['column_names']['t'] -hierarchical_sep = config_default['hierarchical_sep'] -hierarchical_levels = config_default['hierarchical_levels'] -value_type_override = config_default['value_types'] +ID_col = 'ID' +t_col = 't' +var_col = 'variable_name' +val_col = 'variable_value' + +if 'column_names' in config_default: + ID_col = config_default['column_names'].get('ID', 'ID') + t_col = config_default['column_names'].get('t', 't') + var_col = config_default['column_names'].get('var_name', 'variable_name') + val_col = config_default['column_names'].get('var_value', 'variable_value') +else: + pass + +# hierarchical_sep = config_default.get('hierarchical_sep', ':') +# hierarchical_levels = config_default.get('hierarchical_levels', []) +# value_type_override = config_default.get('value_types', {}) -use_ordinal_encoding = config_default['use_ordinal_encoding'] +# discretize = config_default.get('discretize', True) +# use_ordinal_encoding = config_default.get('use_ordinal_encoding', False) -parallel = config_default['parallel'] -n_jobs = config_default['n_jobs'] +# parallel = config_default.get('parallel', False) +# n_jobs = config_default.get('n_jobs', 1) diff --git a/FIDDLE/helpers.py b/FIDDLE/helpers.py index 6c7507c..2bfb35d 100644 --- a/FIDDLE/helpers.py +++ b/FIDDLE/helpers.py @@ -97,12 +97,12 @@ def get_unique_variables(df): return sorted(df[var_col].unique()) def get_frequent_numeric_variables(df_time_series, variables, threshold, args): -# data_path = args.data_path - data_path = args.output_dir +# output_dir = args.output_dir + output_dir = args.output_dir df_population = args.df_population T, dt = args.T, args.dt - df_types = pd.read_csv(data_path + 'value_types.csv').set_index(var_col)['value_type'] + df_types = pd.read_csv(output_dir + 'value_types.csv').set_index(var_col)['value_type'] numeric_vars = [col for col in variables if df_types[col] == 'Numeric'] df_num_counts = calculate_variable_counts(df_time_series, df_population)[numeric_vars] #gets the count of each variable for each patient. variables_num_freq = df_num_counts.columns[df_num_counts.mean() >= threshold * np.floor(T/dt)] diff --git a/FIDDLE/run.py b/FIDDLE/run.py index 5df5acd..0a33295 100644 --- a/FIDDLE/run.py +++ b/FIDDLE/run.py @@ -59,48 +59,44 @@ elif data_fname.endswith('.csv'): else: raise NotImplementedError -df_population = pd.read_csv(args.population_fname).set_index('ID') +df_population = args.df_population = pd.read_csv(args.population_fname).set_index('ID') -config = get_config(args.config_fname) +config = load_config(args.config_fname) ## Backwards compatible arguments settings -data_path = args.output_dir -if not data_path.endswith('/'): - data_path += '/' +output_dir = args.output_dir +if not output_dir.endswith('/'): + output_dir += '/' -T = int(args.T) +T = args.T dt = args.dt theta_1 = args.theta_1 theta_2 = args.theta_2 theta_freq = args.theta_freq stats_functions = args.stats_functions -binarize = args.binarize = config['discretize'] - -N = args.N or len(df_population) -df_population = df_population.iloc[:args.N] -L = int(np.floor(T/dt)) - -args.df_population = df_population -args.N = N -args.L = L -args.parallel = config['parallel'] -args.n_jobs = config['n_jobs'] +args.discretize = config.get('discretize', True) +args.hierarchical_sep = config.get('hierarchical_sep', ':') +args.hierarchical_levels = config.get('hierarchical_levels', []) +args.value_type_override = config.get('value_types', {}) -args.ID_col = config['column_names']['ID'] -args.var_col = config['column_names']['var_name'] -args.val_col = config['column_names']['var_value'] -args.t_col = config['column_names']['t'] +args.discretize = config.get('discretize', True) +args.use_ordinal_encoding = config.get('use_ordinal_encoding', False) -hierarchical_sep = config['hierarchical_sep'] -hierarchical_levels = config['hierarchical_levels'] -value_type_override = config['value_types'] +args.parallel = config.get('parallel', False) +args.n_jobs = config.get('n_jobs', 1) -use_ordinal_encoding = config['use_ordinal_encoding'] +N = args.N = args.N or len(df_population) +df_population = df_population.iloc[:args.N] +L = args.L = int(np.floor(T/dt)) -parallel = True -n_jobs = 72 +# args.parallel = config['parallel'] +# args.n_jobs = config['n_jobs'] +# args.ID_col = config['column_names']['ID'] +# args.var_col = config['column_names']['var_name'] +# args.val_col = config['column_names']['var_value'] +# args.t_col = config['column_names']['t'] # print('Done') # print(config) @@ -108,6 +104,10 @@ n_jobs = 72 # print(df_data) # # exit() +# print(args) +# print(config) +# exit() + try: from .steps import * except: @@ -127,7 +127,7 @@ print(' {:<6} = {}'.format('\u03B8\u2081', theta_1)) print(' {:<6} = {}'.format('\u03B8\u2082', theta_2)) print(' {:<6} = {}'.format('\u03B8_freq', theta_freq)) print(' {:<6} = {} {}'.format('k', len(stats_functions), stats_functions)) -print('{} = {}'.format('binarize', {False: 'no', True: 'yes'}[args.binarize])) +print('{} = {}'.format('discretize', {False: 'no', True: 'yes'}[args.discretize])) print() print('N = {}'.format(N)) print('L = {}'.format(L)) @@ -140,10 +140,10 @@ print('', flush=True) if args.prefilter: print_header('1) Pre-filter') df_data = pre_filter(df_data, theta_1, df_population, args) - df_data.to_csv(data_path + 'pre-filtered.csv', index=False) + df_data.to_csv(output_dir + 'pre-filtered.csv', index=False) print_header('2) Transform; 3) Post-filter') -df_data, df_types = parse_variable_data_type(df_data, value_type_override, args) +df_data, df_types = parse_variable_data_type(df_data, args) df_time_invariant, df_time_series = split_by_timestamp_type(df_data) # Process time-invariant data diff --git a/FIDDLE/steps.py b/FIDDLE/steps.py index 2115df1..2efe0be 100644 --- a/FIDDLE/steps.py +++ b/FIDDLE/steps.py @@ -28,7 +28,7 @@ def pre_filter(df, threshold, df_population, args): # Data table should not contain duplicate rows with any numerical values # Check for inconsistencies - var_names = [v for v, ty in value_type_override.items() if 'hierarchical' in ty.lower() or 'categorical' in ty.lower()] + var_names = [v for v, ty in args.value_type_override.items() if 'hierarchical' in ty.lower() or 'categorical' in ty.lower()] df_tmp = df[~df[var_col].isin(var_names)] dups = df_tmp.duplicated(subset=[ID_col, t_col, var_col], keep=False) df_dups = df_tmp[dups] @@ -58,23 +58,22 @@ def pre_filter(df, threshold, df_population, args): return df_out -def parse_variable_data_type(df_data, value_type_override, args): +def parse_variable_data_type(df_data, args): # 1. parse hierarchical values (e.g. ICD codes) into strings # 2. automatically detect value types, respecting user override, and set dtypes in DataFrames # 3. pre-map duplicated non-numerical values into multiple categorical variables -# data_path = args.data_path - data_path = args.output_dir + output_dir = args.output_dir df = df_data assert val_col in df.columns print_header('*) Detecting and parsing value types', char='-') ## 1. Hierarchical values - var_names = [v for v, ty in value_type_override.items() if 'hierarchical' in ty.lower()] + var_names = [v for v, ty in args.value_type_override.items() if 'hierarchical' in ty.lower()] if len(var_names) == 0: # No hierarchical values pass for var_name in var_names: - var_type = value_type_override[var_name] + var_type = args.value_type_override[var_name] df_var = df.loc[df[var_col] == var_name, val_col] if var_type.lower() == 'hierarchical_icd': # need to figure out ICD version @@ -93,7 +92,7 @@ def parse_variable_data_type(df_data, value_type_override, args): df_nonhier = df[~df[var_col].isin(var_names)] df_hier = df[df[var_col].isin(var_names)] df_hier_levels = [] - for hier_level in hierarchical_levels: + for hier_level in args.hierarchical_levels: # encode level if available df_hier_level = df_hier.copy() df_hier_level[val_col] = df_hier_level[val_col].apply(lambda h: h[min(hier_level, len(h))]) @@ -116,7 +115,7 @@ def parse_variable_data_type(df_data, value_type_override, args): # Determine type of each variable for variable, values in sorted(values_by_variable.items()): # Manual override type in config - if variable in value_type_override: + if variable in args.value_type_override: data_types.append((variable, value_type_override[variable])) # Force categorical values to be a string if value_type_override[variable] == 'Categorical' and \ @@ -136,7 +135,7 @@ def parse_variable_data_type(df_data, value_type_override, args): df_types = pd.DataFrame(data_types, columns=['variable_name', 'value_type']) df_types[var_col] = df_types[var_col].astype(str) df_types = df_types.set_index(var_col) - fpath = data_path + 'value_types.csv' + fpath = output_dir + 'value_types.csv' df_types.to_csv(fpath, quoting=1) print('Saved as:', fpath) @@ -169,13 +168,12 @@ def split_by_timestamp_type(df): def process_time_invariant(df_data_time_invariant, args): -# data_path = args.data_path - data_path = args.output_dir + output_dir = args.output_dir df_population = args.df_population theta_2 = args.theta_2 print_header('2-A) Transform time-invariant data', char='-') - dir_path = data_path + '/' + dir_path = output_dir + '/' start_time = time.time() ## Create Nxd^ table @@ -212,12 +210,11 @@ def process_time_invariant(df_data_time_invariant, args): def process_time_dependent(df_data_time_series, args): -# data_path = args.data_path - data_path = args.output_dir + output_dir = args.output_dir theta_2 = args.theta_2 print_header('2-B) Transform time-dependent data', char='-') - dir_path = data_path + '/' + dir_path = output_dir + '/' start_time = time.time() ## Create NxLxD^ table @@ -225,8 +222,8 @@ def process_time_dependent(df_data_time_series, args): print('Time elapsed: %f seconds' % (time.time() - start_time)) ############## - joblib.dump(df_time_series, data_path + 'df_time_series.joblib') - joblib.dump(dtypes_time_series, data_path + 'dtypes_time_series.joblib') + joblib.dump(df_time_series, output_dir + 'df_time_series.joblib') + joblib.dump(dtypes_time_series, output_dir + 'dtypes_time_series.joblib') ############## ## Map variables to features @@ -276,8 +273,8 @@ def transform_time_invariant_table(df_in, df_population): def map_time_invariant_features(df, args): # Categorical -> binary features # Numeric -> binary/float-valued features - if args.binarize: - out = [smart_qcut_dummify(df[col], q=5, use_ordinal_encoding=use_ordinal_encoding) for col in df.columns] + if args.discretize: + out = [smart_qcut_dummify(df[col], q=5, use_ordinal_encoding=args.use_ordinal_encoding) for col in df.columns] time_invariant_features = pd.concat(out, axis=1) feature_names_all = time_invariant_features.columns.values sdf = time_invariant_features.astype(pd.SparseDtype(int, fill_value=0)) @@ -391,8 +388,7 @@ def process_batch_time_series(first_arg): return out def transform_time_series_table(df_in, args): -# data_path = args.data_path - data_path = args.output_dir + output_dir = args.output_dir theta_freq = args.theta_freq stats_functions = args.stats_functions N, L = args.N, args.L @@ -419,7 +415,7 @@ def transform_time_series_table(df_in, args): args.variables_num_freq = variables_num_freq # Encode time series table for each patient - if parallel: + if args.parallel: # out = dict(Parallel(n_jobs=n_jobs, verbose=10)( # delayed(func_encode_single_time_series)(i, g, variables, variables_num_freq, args.T, args.dt, args.stats_functions) # for i, g in grouped[:N] @@ -427,7 +423,7 @@ def transform_time_series_table(df_in, args): batches, batches_IDs = form_batches_of_examples(df_in, args, batch_size=1000) print('Batches of size 1000: ', len(batches)) - pool = multiprocessing.Pool(multiprocessing.cpu_count()) + pool = multiprocessing.Pool(args.n_jobs) out = list(tqdm(pool.imap_unordered( process_batch_time_series, zip(batches, batches_IDs, [args]*len(batches))), total=len(batches) @@ -442,7 +438,7 @@ def transform_time_series_table(df_in, args): else: grouped = list(df_in.groupby(ID_col)) out = dict( - func_encode_single_time_series(i, g, variables, variables_num_freq, args.T, args.dt, args.stats_functions) + func_encode_single_time_series(i, g.set_index(ID_col), variables, variables_num_freq, args.T, args.dt, args.stats_functions) for i, g in tqdm(grouped[:N]) ) @@ -515,22 +511,22 @@ def transform_time_series_table(df_in, args): ts_delta_time.columns = [col.replace('_delta_time', '') for col in ts_delta_time.columns] imputed = (1-ts_mask).astype(bool) & (ts_delta_time > 0) -# print('(freq) number of imputed entries :\t', -# '{}'.format(imputed.sum().sum(), ts_delta_time.size)) - imputed.sum().rename('count').to_csv(data_path + '/' + 'freq_imputed.csv') + print('(freq) number of imputed entries :\t', + '{}'.format(imputed.sum().sum(), ts_delta_time.size)) + imputed.sum().rename('count').to_csv(output_dir + '/' + 'freq_imputed.csv') not_imputed = (1-ts_mask).astype(bool) & (ts_delta_time == 0) -# print('(freq) number of not imputed entries :\t', -# '{}'.format(not_imputed.sum().sum(), ts_delta_time.size)) - not_imputed.sum().rename('count').to_csv(data_path + '/' + 'freq_not_imputed.csv') - -# ## Non-Freq: Count missing entries -# non_freq_cols = sorted([c + '_value' for c in set(variables) - set(variables_num_freq)]) -# non_freqs = df_time_series[non_freq_cols] -# print('(non-freq) number of missing entries :\t', -# '{} out of {}={} total'.format( -# non_freqs.isna().sum().sum(), -# '\u00D7'.join(str(i) for i in [N,L,non_freqs.shape[1]]), non_freqs.size)) + print('(freq) number of not imputed entries :\t', + '{}'.format(not_imputed.sum().sum(), ts_delta_time.size)) + not_imputed.sum().rename('count').to_csv(output_dir + '/' + 'freq_not_imputed.csv') + + ## Non-Freq: Count missing entries + non_freq_cols = sorted([c + '_value' for c in set(variables) - set(variables_num_freq)]) + non_freqs = df_time_series[non_freq_cols] + print('(non-freq) number of missing entries :\t', + '{} out of {}={} total'.format( + non_freqs.isna().sum().sum(), + '\u00D7'.join(str(i) for i in [N,L,non_freqs.shape[1]]), non_freqs.size)) print() print('(N \u00D7 L \u00D7 ^D) table :\t', (N, L, len(columns))) @@ -549,18 +545,18 @@ def map_time_series_features(df_time_series, dtypes, args): ts_mixed_cols = [ts_mixed[col] for col in ts_mixed.columns] print() - if args.binarize: + if args.discretize: dtype = int print('Processing', len(ts_mixed_cols), 'non-boolean variable columns...') print(' Binning numeric variables by quintile...') print(' Converting variables to binary features') - if parallel: - out = Parallel(n_jobs=n_jobs, verbose=10)( # Need to share global variables - delayed(smart_qcut_dummify)(col_data, q=5, use_ordinal_encoding=use_ordinal_encoding) for col_data in ts_mixed_cols + if args.parallel: + out = Parallel(n_jobs=args.n_jobs, verbose=10)( # Need to share global variables + delayed(smart_qcut_dummify)(col_data, q=5, use_ordinal_encoding=args.use_ordinal_encoding) for col_data in ts_mixed_cols ) else: - out = [smart_qcut_dummify(col_data, q=5, use_ordinal_encoding=use_ordinal_encoding) for col_data in tqdm(ts_mixed_cols)] + out = [smart_qcut_dummify(col_data, q=5, use_ordinal_encoding=args.use_ordinal_encoding) for col_data in tqdm(ts_mixed_cols)] else: dtype = float df = ts_mixed.copy() @@ -578,8 +574,8 @@ def map_time_series_features(df_time_series, dtypes, args): ts_mixed_cols = [df[col] for col in df.columns] print('Discretizing categorical features...') - if parallel: - out = Parallel(n_jobs=n_jobs, verbose=10)( # Need to share global variables? + if args.parallel: + out = Parallel(n_jobs=args.n_jobs, verbose=10)( # Need to share global variables? delayed(smart_dummify_impute)(col_data) for col_data in ts_mixed_cols ) else: -- GitLab From f3466329bf516d06367c057c5c6ed0651cc059c6 Mon Sep 17 00:00:00 2001 From: Shengpu Tang Date: Sat, 9 May 2020 20:21:20 -0400 Subject: [PATCH 05/28] more cleanup --- FIDDLE/config-default.yaml | 1 + FIDDLE/config.py | 32 - FIDDLE/run.py | 19 +- FIDDLE/steps.py | 19 +- .../output-1-parallel/X.feature_aliases.json | 1 + .../output-1-parallel/X.feature_names.json | 1 + test_new/large_test/output-1-parallel/X.npz | Bin 0 -> 231914 bytes .../X_all.feature_names.json | 1 + .../large_test/output-1-parallel/X_all.npz | Bin 0 -> 85479 bytes .../output-1-parallel/df_time_series.joblib | Bin 0 -> 28003861 bytes .../dtypes_time_series.joblib | Bin 0 -> 117408 bytes .../output-1-parallel/freq_imputed.csv | 6 + .../output-1-parallel/freq_not_imputed.csv | 6 + .../output-1-parallel/pre-filtered.csv | 64778 ++++++++++++++++ .../output-1-parallel/s.feature_aliases.json | 1 + .../output-1-parallel/s.feature_names.json | 1 + test_new/large_test/output-1-parallel/s.npz | Bin 0 -> 3104 bytes .../s_all.feature_names.json | 1 + .../large_test/output-1-parallel/s_all.npz | Bin 0 -> 6316 bytes .../output-1-parallel/value_types.csv | 1971 + .../output-2-parallel/X.feature_aliases.json | 1 + .../output-2-parallel/X.feature_names.json | 1 + test_new/large_test/output-2-parallel/X.npz | Bin 0 -> 1058894 bytes .../X_all.feature_names.json | 1 + .../large_test/output-2-parallel/X_all.npz | Bin 0 -> 376416 bytes .../output-2-parallel/df_time_series.joblib | Bin 0 -> 28031515 bytes .../dtypes_time_series.joblib | Bin 0 -> 117408 bytes .../output-2-parallel/freq_imputed.csv | 6 + .../output-2-parallel/freq_not_imputed.csv | 6 + .../output-2-parallel/pre-filtered.csv | 64778 ++++++++++++++++ .../output-2-parallel/s.feature_aliases.json | 1 + .../output-2-parallel/s.feature_names.json | 1 + test_new/large_test/output-2-parallel/s.npz | Bin 0 -> 5822 bytes .../s_all.feature_names.json | 1 + .../large_test/output-2-parallel/s_all.npz | Bin 0 -> 8007 bytes .../output-2-parallel/value_types.csv | 1971 + 36 files changed, 133543 insertions(+), 62 deletions(-) create mode 100644 test_new/large_test/output-1-parallel/X.feature_aliases.json create mode 100644 test_new/large_test/output-1-parallel/X.feature_names.json create mode 100644 test_new/large_test/output-1-parallel/X.npz create mode 100644 test_new/large_test/output-1-parallel/X_all.feature_names.json create mode 100644 test_new/large_test/output-1-parallel/X_all.npz create mode 100644 test_new/large_test/output-1-parallel/df_time_series.joblib create mode 100644 test_new/large_test/output-1-parallel/dtypes_time_series.joblib create mode 100644 test_new/large_test/output-1-parallel/freq_imputed.csv create mode 100644 test_new/large_test/output-1-parallel/freq_not_imputed.csv create mode 100644 test_new/large_test/output-1-parallel/pre-filtered.csv create mode 100644 test_new/large_test/output-1-parallel/s.feature_aliases.json create mode 100644 test_new/large_test/output-1-parallel/s.feature_names.json create mode 100644 test_new/large_test/output-1-parallel/s.npz create mode 100644 test_new/large_test/output-1-parallel/s_all.feature_names.json create mode 100644 test_new/large_test/output-1-parallel/s_all.npz create mode 100644 test_new/large_test/output-1-parallel/value_types.csv create mode 100644 test_new/large_test/output-2-parallel/X.feature_aliases.json create mode 100644 test_new/large_test/output-2-parallel/X.feature_names.json create mode 100644 test_new/large_test/output-2-parallel/X.npz create mode 100644 test_new/large_test/output-2-parallel/X_all.feature_names.json create mode 100644 test_new/large_test/output-2-parallel/X_all.npz create mode 100644 test_new/large_test/output-2-parallel/df_time_series.joblib create mode 100644 test_new/large_test/output-2-parallel/dtypes_time_series.joblib create mode 100644 test_new/large_test/output-2-parallel/freq_imputed.csv create mode 100644 test_new/large_test/output-2-parallel/freq_not_imputed.csv create mode 100644 test_new/large_test/output-2-parallel/pre-filtered.csv create mode 100644 test_new/large_test/output-2-parallel/s.feature_aliases.json create mode 100644 test_new/large_test/output-2-parallel/s.feature_names.json create mode 100644 test_new/large_test/output-2-parallel/s.npz create mode 100644 test_new/large_test/output-2-parallel/s_all.feature_names.json create mode 100644 test_new/large_test/output-2-parallel/s_all.npz create mode 100644 test_new/large_test/output-2-parallel/value_types.csv diff --git a/FIDDLE/config-default.yaml b/FIDDLE/config-default.yaml index 03d4389..b21c5fc 100644 --- a/FIDDLE/config-default.yaml +++ b/FIDDLE/config-default.yaml @@ -7,6 +7,7 @@ column_names: parallel: yes n_jobs: 72 +batch_size: 100 hierarchical_sep: ":" hierarchical_levels: [0, 1, 2] diff --git a/FIDDLE/config.py b/FIDDLE/config.py index 2d75387..4b5f74e 100644 --- a/FIDDLE/config.py +++ b/FIDDLE/config.py @@ -5,33 +5,11 @@ with open(os.path.join(os.path.dirname(__file__), 'config-default.yaml')) as f: config_default = yaml.safe_load(f) def load_config(fname): -# global ID_col, t_col, var_col, val_col -# global hierarchical_sep, hierarchical_levels, value_type_override -# global discretize, use_ordinal_encoding -# global parallel, n_jobs - config = copy.deepcopy(config_default) if fname: config_custom = yaml.safe_load(open(fname, 'r')) for k, v in config_custom.items(): config[k] = v - -# if 'column_names' in config_custom: -# ID_col = config_custom['column_names'].get('ID', ID_col) -# t_col = config_custom['column_names'].get('t', t_col) -# var_col = config_custom['column_names'].get('var_name', var_col) -# val_col = config_custom['column_names'].get('var_value', val_col) - -# hierarchical_sep = config_custom.get('hierarchical_sep', hierarchical_sep) -# hierarchical_levels = config_custom.get('hierarchical_levels', hierarchical_levels) -# value_type_override = config_custom.get('value_types', value_type_override) - -# discretize = config_custom.get('discretize', True) -# use_ordinal_encoding = config_custom.get('use_ordinal_encoding', use_ordinal_encoding) - -# parallel = config_custom.get('parallel', parallel) -# n_jobs = config_custom.get('n_jobs', n_jobs) - return config @@ -47,13 +25,3 @@ if 'column_names' in config_default: val_col = config_default['column_names'].get('var_value', 'variable_value') else: pass - -# hierarchical_sep = config_default.get('hierarchical_sep', ':') -# hierarchical_levels = config_default.get('hierarchical_levels', []) -# value_type_override = config_default.get('value_types', {}) - -# discretize = config_default.get('discretize', True) -# use_ordinal_encoding = config_default.get('use_ordinal_encoding', False) - -# parallel = config_default.get('parallel', False) -# n_jobs = config_default.get('n_jobs', 1) diff --git a/FIDDLE/run.py b/FIDDLE/run.py index 0a33295..e64d243 100644 --- a/FIDDLE/run.py +++ b/FIDDLE/run.py @@ -35,7 +35,6 @@ parser.add_argument('--theta_1', type=float, default=0.001) parser.add_argument('--theta_2', type=float, default=0.001) parser.add_argument('--theta_freq', type=float, default=1.0) parser.add_argument('--stats_functions', nargs='+', default=['min', 'max', 'mean']) -# parser.add_argument('--binarize', type=str2bool, default=True, nargs='?', const=True) # Debug parser.add_argument('--N', type=int, required=False) @@ -86,28 +85,12 @@ args.use_ordinal_encoding = config.get('use_ordinal_encoding', False) args.parallel = config.get('parallel', False) args.n_jobs = config.get('n_jobs', 1) +args.batch_size = config.get('batch_size', 100) N = args.N = args.N or len(df_population) df_population = df_population.iloc[:args.N] L = args.L = int(np.floor(T/dt)) -# args.parallel = config['parallel'] -# args.n_jobs = config['n_jobs'] -# args.ID_col = config['column_names']['ID'] -# args.var_col = config['column_names']['var_name'] -# args.val_col = config['column_names']['var_value'] -# args.t_col = config['column_names']['t'] - -# print('Done') -# print(config) -# print(df_population) -# print(df_data) -# # exit() - -# print(args) -# print(config) -# exit() - try: from .steps import * except: diff --git a/FIDDLE/steps.py b/FIDDLE/steps.py index 2efe0be..19cc9be 100644 --- a/FIDDLE/steps.py +++ b/FIDDLE/steps.py @@ -116,9 +116,9 @@ def parse_variable_data_type(df_data, args): for variable, values in sorted(values_by_variable.items()): # Manual override type in config if variable in args.value_type_override: - data_types.append((variable, value_type_override[variable])) + data_types.append((variable, args.value_type_override[variable])) # Force categorical values to be a string - if value_type_override[variable] == 'Categorical' and \ + if args.value_type_override[variable] == 'Categorical' and \ any(is_numeric(v) for v in values if not pd.isnull(v)): m_var = df[var_col] == variable df.loc[m_var, val_col] = df.loc[m_var, val_col].apply(lambda s: '_' + str(s)) @@ -190,7 +190,7 @@ def process_time_invariant(df_data_time_invariant, args): print_header('3-A) Post-filter time-invariant data', char='-') ## Filter - s, s_feature_names, s_feature_aliases = post_filter(s_all, s_all_feature_names, theta_2) + s, s_feature_names, s_feature_aliases = post_filter_time_invariant(s_all, s_all_feature_names, theta_2) print('Time elapsed: %f seconds' % (time.time() - start_time)) ## Save output @@ -301,7 +301,7 @@ def map_time_invariant_features(df, args): print('s_all, binary features :\t', s_.shape) return s_, feature_names_all -def post_filter(s_, s_feature_names_all, threshold): +def post_filter_time_invariant(s_, s_feature_names_all, threshold): # Filter features (optional) assert s_.shape[1] == len(s_feature_names_all) feature_names_0 = s_feature_names_all @@ -371,7 +371,7 @@ def divide_chunks(l, n): for i in range(0, len(l), n): yield l[i:i + n] -def form_batches_of_examples(df_in, args, batch_size=1000): +def form_batches_of_examples(df_in, args, batch_size): grouped = df_in.set_index(ID_col) IDs = list(grouped.index.unique()) batches_IDs = list(divide_chunks(IDs, batch_size)) @@ -416,13 +416,8 @@ def transform_time_series_table(df_in, args): # Encode time series table for each patient if args.parallel: -# out = dict(Parallel(n_jobs=n_jobs, verbose=10)( -# delayed(func_encode_single_time_series)(i, g, variables, variables_num_freq, args.T, args.dt, args.stats_functions) -# for i, g in grouped[:N] -# )) - - batches, batches_IDs = form_batches_of_examples(df_in, args, batch_size=1000) - print('Batches of size 1000: ', len(batches)) + batches, batches_IDs = form_batches_of_examples(df_in, args, batch_size=args.batch_size) + print('Batches of size {}: '.format(args.batch_size), len(batches)) pool = multiprocessing.Pool(args.n_jobs) out = list(tqdm(pool.imap_unordered( process_batch_time_series, diff --git a/test_new/large_test/output-1-parallel/X.feature_aliases.json b/test_new/large_test/output-1-parallel/X.feature_aliases.json new file mode 100644 index 0000000..33a2be8 --- /dev/null +++ b/test_new/large_test/output-1-parallel/X.feature_aliases.json @@ -0,0 +1 @@ +{"220047_value>=60.0": ["51478_value_TR"], "220056_value>=90.0": ["223979_value_Cyanotic", "223983_value_Cyanotic", "224012: Ileostomy_value_1", "224031: Both Arms_value_1", "224796_value_Ileostomy", "224797_value_Pink"], "220059_value>=46.0": ["221986_value_1", "221986_InputRoute_value_1", "221986_InputRoute: Continuous Med_value_1", "221986_Rate_value_0.03655555699999999"], "220059_value>=55.0": ["220060_value>=25.0"], "220063_value>=40.0": ["220063_value>=43.0", "220063_value>=49.0", "220066_value>=2.5999999999999996", "220066_value>=3.8000000000000003", "220072_value>=24.0", "223773_value_68.0", "224389_value_Systolic murmur"], "220066_value>=0.0": ["220066_value>=0.8", "220066_value>=1.6", "220072_value>=20.0", "227241_value_Mean"], "220073_value>=5.0": ["225351_value>=6.2320462962962955", "225351_value>=18.653569444444447", "225354_value>=12.474342592592603", "225356_value>=6.2320462962962955", "225356_value>=18.653569444444447", "226632_value>=1155.0", "227757_value_Post line placement"], "220765_value>=8.0": ["220765_value>=8.600000000000001", "220765_value>=9.2", "220765_value>=9.8", "220765_value>=10.4", "223767_value_20.0", "223768_value_0.0", 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