Python run_experiments_finite_pool Examples

Example #1

File: rock_out.py Project: bwallace/citation-screening

#################################################
#
# run experiments on trec100 data
#
# sample usage (from ipython console)
# >> %run micro_finite_pool
#
##################################################

import os

feature_sets = [
    os.path.join("data", "micro_nutrients", s)
    for s in ["titles", "abstracts", "keywords", "title_concepts", "topic_dists"]
]
import curious_snake

# todo: make learner setup function parameteric so you can pass it in here
curious_snake.run_experiments_finite_pool(feature_sets, os.path.join("output", "micro_finite"), num_runs=1)

Example #2

File: run_copd_finite.py Project: bwallace/citation-screening

import os
#feature_sets = [os.path.join("data", "copd", s) for s in ["copd_combined"]]
feature_sets = [os.path.join("data", "copd", s) for s in ["copd_labeled_terms_only"]]
import curious_snake
# todo: make learner setup function parameteric so you can pass it in here
init_ids = eval(open(os.path.join("data", "copd", "init_ids"), 'r').readline())
curious_snake.run_experiments_finite_pool(feature_sets, os.path.join("output", "copd_labeled_features_AL"), num_runs=10, hold_out_p=.25,\
                list_of_init_ids=init_ids)

Example #3

File: run_proton_finite_pool.py Project: marzlia/citation-screening

#################################################
#
# run finite experiments on proton beam
#
##################################################

import os
#feature_sets = [os.path.join("data", "proton_beam",s) for s in ["proton_titles", "proton_abstracts", "proton_keywords"]]
#feature_sets = [os.path.join("data", "proton_beam", "old",s) for s in ["proton_titles", "proton_abstracts", "proton_keywords"]]

#feature_sets = [os.path.join("data", "proton_beam",s) for s in ["proton_combined"]]
feature_sets = [
    os.path.join("data", "proton_beam", s)
    for s in ["proton_labeled_features"]
]
init_ids = eval(
    open(os.path.join("data", "proton_beam", "init_ids"), 'r').readline())
import curious_snake
# todo: make learner setup function parameteric so you can pass it in here

curious_snake.run_experiments_finite_pool(feature_sets, os.path.join("output", "FAKER_labeled_features_proton_dux"),\
                                                                        list_of_init_ids=init_ids, num_runs=10, upto=1000)

Example #4

File: rock_out.py Project: marzlia/citation-screening

#################################################
#
# run experiments on trec100 data
#
# sample usage (from ipython console)
# >> %run micro_finite_pool
#
##################################################

import os
feature_sets = [
    os.path.join("data", "micro_nutrients", s) for s in
    ["titles", "abstracts", "keywords", "title_concepts", "topic_dists"]
]
import curious_snake
# todo: make learner setup function parameteric so you can pass it in here
curious_snake.run_experiments_finite_pool(feature_sets,
                                          os.path.join("output",
                                                       "micro_finite"),
                                          num_runs=1)

Example #5

File: micro_finite_pool.py Project: bwallace/citation-screening

#################################################
#
# sample usage (from ipython console)
# >> %run micro_finite_pool
#
##################################################

import os

# feature_sets = [os.path.join("data", "micro_nutrients",s) for s in ["abstracts"]]
feature_sets = [os.path.join("data", "micro_nutrients", s) for s in ["micro_labeled_features_only"]]
import curious_snake

# todo: make learner setup function parameteric so you can pass it in here
curious_snake.run_experiments_finite_pool(
    feature_sets, os.path.join("output", "micro_abstracts_finite_pool_labeled_feature_space"), num_runs=10, upto=2000
)

Example #6

#################################################
#
# sample usage (from ipython console)
# >> %run micro_finite_pool
#
##################################################

import os
#feature_sets = [os.path.join("data", "micro_nutrients",s) for s in ["abstracts"]]
feature_sets = [
    os.path.join("data", "micro_nutrients", s)
    for s in ["micro_labeled_features_only"]
]
import curious_snake
# todo: make learner setup function parameteric so you can pass it in here
curious_snake.run_experiments_finite_pool(
    feature_sets,
    os.path.join("output",
                 "micro_abstracts_finite_pool_labeled_feature_space"),
    num_runs=10,
    upto=2000)

Example #7

File: run_proton_finite_pool.py Project: bwallace/citation-screening

################################################# 
#
# run finite experiments on proton beam
#
##################################################

import os
#feature_sets = [os.path.join("data", "proton_beam",s) for s in ["proton_titles", "proton_abstracts", "proton_keywords"]]
#feature_sets = [os.path.join("data", "proton_beam", "old",s) for s in ["proton_titles", "proton_abstracts", "proton_keywords"]]

#feature_sets = [os.path.join("data", "proton_beam",s) for s in ["proton_combined"]]
feature_sets = [os.path.join("data", "proton_beam",s) for s in ["proton_labeled_features"]]
init_ids = eval(open(os.path.join("data", "proton_beam", "init_ids"), 'r').readline())
import curious_snake
# todo: make learner setup function parameteric so you can pass it in here

curious_snake.run_experiments_finite_pool(feature_sets, os.path.join("output", "FAKER_labeled_features_proton_dux"),\
                                                                        list_of_init_ids=init_ids, num_runs=10, upto=1000)

Example #8

File: run_copd_finite.py Project: marzlia/citation-screening

import os
#feature_sets = [os.path.join("data", "copd", s) for s in ["copd_combined"]]
feature_sets = [
    os.path.join("data", "copd", s) for s in ["copd_labeled_terms_only"]
]
import curious_snake
# todo: make learner setup function parameteric so you can pass it in here
init_ids = eval(open(os.path.join("data", "copd", "init_ids"), 'r').readline())
curious_snake.run_experiments_finite_pool(feature_sets, os.path.join("output", "copd_labeled_features_AL"), num_runs=10, hold_out_p=.25,\
                list_of_init_ids=init_ids)