Python prospectiveの例

コード例 #1

import os

data_paths = [
    os.path.join("data", "ma_dx", "all", s)
    for s in ["ma_dx_titles", "ma_dx_abstracts", "ma_dx_keywords"]
]
import curious_snake
import dataset
# todo: make learner setup function parameteric so you can pass it in here
datasets = [dataset.build_dataset_from_file(f) for f in data_paths]
curious_snake.prospective(None,
                          os.path.join("output", "ma_dx"),
                          "predictions_all",
                          datasets=datasets)
#curious_snake.retro_diversity(feature_sets)

コード例 #2

ファイル: run_prospective_sleep_apnea.py プロジェクト: marzlia/citation-screening

########################################
#
# run hold out experiments on sleep apnea
#
########################################

import os
#feature_sets = [os.path.join("data", "sleep_apnea",s) for s in ["sleep_titles", "sleep_abstracts", "sleep_keywords", "sleep_concepts"]]
data_paths = [
    os.path.join("data", "sleep_apnea", s)
    for s in ["titles_post_r7", "abstracts_post_r7", "keywords_post_r7"]
]
import curious_snake
import dataset
# todo: make learner setup function parameteric so you can pass it in here
datasets = [dataset.build_dataset_from_file(f) for f in data_paths]
curious_snake.prospective(None,
                          os.path.join("output", "sleepies6"),
                          "predictions_all",
                          datasets=datasets,
                          beta=1)
#curious_snake.retro_diversity(feature_sets)

コード例 #3

import os
import curious_snake

for d in ["r%s_denish" % (x+1) for x in range(14, 23)]:
    data_paths = [os.path.join("data", "sleep_apnea", "%s" % d,s) for s in ["sleep_titles", "sleep_abstracts", "sleep_keywords"]]#, "sleep_concepts"]]
    # todo: make learner setup function parameteric so you can pass it in here
    curious_snake.prospective(data_paths, os.path.join("output", "prospective_sleep_%s" % d), "predictions")

コード例 #4

ファイル: run_prospective_sleep_apnea.py プロジェクト: bwallace/citation-screening

######################################## 
#
# run hold out experiments on sleep apnea
#
########################################

import os
#feature_sets = [os.path.join("data", "sleep_apnea",s) for s in ["sleep_titles", "sleep_abstracts", "sleep_keywords", "sleep_concepts"]]
data_paths = [os.path.join("data", "sleep_apnea", s) for s in ["titles_post_r7", "abstracts_post_r7", "keywords_post_r7"]]
import curious_snake
import dataset
# todo: make learner setup function parameteric so you can pass it in here
datasets = [dataset.build_dataset_from_file(f) for f in data_paths]
curious_snake.prospective(None, os.path.join("output", "sleepies6"), "predictions_all", datasets=datasets, beta=1)
#curious_snake.retro_diversity(feature_sets)

コード例 #5

ファイル: run_prospective_ma_dx.py プロジェクト: bwallace/citation-screening

import os

data_paths = [os.path.join("data", "ma_dx", "all", s) for s in ["ma_dx_titles", "ma_dx_abstracts", "ma_dx_keywords"]]
import curious_snake
import dataset
# todo: make learner setup function parameteric so you can pass it in here
datasets = [dataset.build_dataset_from_file(f) for f in data_paths]
curious_snake.prospective(None, os.path.join("output", "ma_dx"), "predictions_all", datasets=datasets)
#curious_snake.retro_diversity(feature_sets)

コード例 #6

ファイル: run_dx.py プロジェクト: bwallace/citation-screening

######################################## 
#
# run hold out experiments on ma_dx tests
#
########################################

import os
import dataset
#data_paths = [os.path.join("data", "ma_dx", "iter6_ndidi_1120" ,s) for s in ["ma_dx_titles60", "ma_dx_abstracts", "ma_dx_keywords"]]#, "ma_dx_concepts"]]
#test_data_paths =
data_paths= [os.path.join("data", "ma_dx", "iter2_ndidi_1040" ,s) for s in ["ma_dx_titles", "ma_dx_abstracts", "ma_dx_keywords"]]
datasets = [dataset.build_dataset_from_file(f) for f in data_paths]
#feature_sets = [os.path.join("data", "sleep_apnea",s) for s in ["sleep_concepts"]]
import curious_snake
# todo: make learner setup function parameteric so you can pass it in here
#curious_snake.retro_diversity(feature_sets)

#curious_snake.run_passive_mv_experiments(data_paths,
#                                                    os.path.join("output", "ma_dx_cv1000"), 
#                                                    num_runs=10, hold_out_p=.10)
                                                    
#curious_snake.run_cv_experiments_with_test_data(data_paths, test_data_paths,
#                                                    os.path.join("output", "ma_dx_cv1120"), 
#                                                    num_runs=10, hold_out_p=.10)
curious_snake.prospective(None, os.path.join("output", "dx_prospective_1040"), "dx_preds", datasets=datasets)

コード例 #7

#
# run hold out experiments on ma_dx tests
#
########################################

import os
import dataset
#data_paths = [os.path.join("data", "ma_dx", "iter6_ndidi_1120" ,s) for s in ["ma_dx_titles60", "ma_dx_abstracts", "ma_dx_keywords"]]#, "ma_dx_concepts"]]
#test_data_paths =
data_paths = [
    os.path.join("data", "ma_dx", "iter2_ndidi_1040", s)
    for s in ["ma_dx_titles", "ma_dx_abstracts", "ma_dx_keywords"]
]
datasets = [dataset.build_dataset_from_file(f) for f in data_paths]
#feature_sets = [os.path.join("data", "sleep_apnea",s) for s in ["sleep_concepts"]]
import curious_snake
# todo: make learner setup function parameteric so you can pass it in here
#curious_snake.retro_diversity(feature_sets)

#curious_snake.run_passive_mv_experiments(data_paths,
#                                                    os.path.join("output", "ma_dx_cv1000"),
#                                                    num_runs=10, hold_out_p=.10)

#curious_snake.run_cv_experiments_with_test_data(data_paths, test_data_paths,
#                                                    os.path.join("output", "ma_dx_cv1120"),
#                                                    num_runs=10, hold_out_p=.10)
curious_snake.prospective(None,
                          os.path.join("output", "dx_prospective_1040"),
                          "dx_preds",
                          datasets=datasets)