SYMBOL INDEX (197 symbols across 43 files)

FILE: evaluation/experiment/__init__.py
  class ComponentBase (line 1) | class ComponentBase(object):
    method __init__ (line 2) | def __init__(self, config, config_global, logger):
  class Data (line 14) | class Data(ComponentBase):
    method setup (line 15) | def setup(self):
    method reshuffle (line 18) | def reshuffle(self, repetition):
  class Model (line 23) | class Model(ComponentBase):
    method __init__ (line 24) | def __init__(self, config, config_global, logger):
    method build (line 27) | def build(self, data, sess):
  class Training (line 31) | class Training(ComponentBase):
    method start (line 32) | def start(self, model, data, sess, evaluation):
  class Evaluation (line 44) | class Evaluation(ComponentBase):
    method start (line 45) | def start(self, model, data, sess, valid_only=False):

FILE: evaluation/experiment/config.py
  function load_config (line 8) | def load_config(config_path, default_config_path=None):
  function read_config (line 25) | def read_config(config_str, default_config_str=None):

FILE: evaluation/experiment/no_model.py
  class NoModel (line 4) | class NoModel(experiment.Model):
    method build (line 5) | def build(self, data, sess):

FILE: evaluation/experiment/no_training.py
  class NoTraining (line 4) | class NoTraining(experiment.Training):
    method start (line 5) | def start(self, model, data, sess, evaluation):

FILE: evaluation/experiment/sentence_classification/data/EMB_server_random_subsample_validation.py
  class EMBServerRandomSubsampleValidationSentenceClassificationData (line 13) | class EMBServerRandomSubsampleValidationSentenceClassificationData(exper...
    method __init__ (line 14) | def __init__(self, config, config_global, logger):
    method setup (line 35) | def setup(self):
    method get_shuffles (line 60) | def get_shuffles(self, seed=None):
    method reshuffle (line 72) | def reshuffle(self, repetition):
    method load_split (line 91) | def load_split(self, sentences_path, labels_path):

FILE: evaluation/experiment/sentence_classification/data/generic.py
  class GenericSentenceClassificationData (line 8) | class GenericSentenceClassificationData(experiment.Data):
    method __init__ (line 9) | def __init__(self, config, config_global, logger):
    method setup (line 13) | def setup(self):
    method load_split (line 39) | def load_split(self, embeddings_path, labels_path):
  function binarize (line 62) | def binarize(labels, classes):

FILE: evaluation/experiment/sentence_classification/data/generic_random_subsample_validation.py
  class GenericRandomSubsampleValidationSentenceClassificationData (line 9) | class GenericRandomSubsampleValidationSentenceClassificationData(experim...
    method __init__ (line 10) | def __init__(self, config, config_global, logger):
    method setup (line 27) | def setup(self):
    method get_shuffles (line 51) | def get_shuffles(self, seed=None):
    method reshuffle (line 63) | def reshuffle(self, repetition):
    method load_split (line 82) | def load_split(self, embeddings_path, labels_path):

FILE: evaluation/experiment/sentence_classification/evaluation.py
  class SentenceClassificationEvaluation (line 12) | class SentenceClassificationEvaluation(experiment.Evaluation):
    method __init__ (line 13) | def __init__(self, config, config_global, logger):
    method start (line 18) | def start(self, model, data, sess, valid_only=False):
    method evaluate (line 34) | def evaluate(self, model, sess, split_data):

FILE: evaluation/experiment/sentence_classification/model/__init__.py
  class SentenceClassificationModel (line 6) | class SentenceClassificationModel(Model):
    method __init__ (line 7) | def __init__(self, config, config_global, logger):
    method build_input (line 11) | def build_input(self, data, sess):
    method create_outputs (line 16) | def create_outputs(self, prediction):
    method summary (line 26) | def summary(self):

FILE: evaluation/experiment/sentence_classification/model/feedforward.py
  class FeedForwardModel (line 7) | class FeedForwardModel(SentenceClassificationModel):
    method build (line 8) | def build(self, data, sess):

FILE: evaluation/experiment/sentence_classification/model/linear.py
  class LinearModel (line 7) | class LinearModel(SentenceClassificationModel):
    method build (line 8) | def build(self, data, sess):

FILE: evaluation/experiment/sentence_classification/training.py
  class SentenceClassificationBatchedTraining (line 8) | class SentenceClassificationBatchedTraining(BatchedTraining):
    method __init__ (line 9) | def __init__(self, config, config_global, logger):
    method get_feed_dict (line 16) | def get_feed_dict(self, model, data, sess):
    method prepare_next_epoch (line 24) | def prepare_next_epoch(self, model, data, sess, epoch):
    method get_n_batches (line 36) | def get_n_batches(self):
    method get_next_batch (line 39) | def get_next_batch(self, model, data, sess):

FILE: evaluation/experiment/utils/data.py
  function merge_dicts (line 6) | def merge_dicts(dict_a, dict_b):
  function replace_dict_values (line 23) | def replace_dict_values(source, replacements):
  function read_embeddings (line 44) | def read_embeddings(path, vocab=None, logger=None):
  function unique_items (line 78) | def unique_items(seq):

FILE: evaluation/experiment/utils/logging_utils.py
  function setup (line 4) | def setup(config):

FILE: evaluation/experiment/utils/progress.py
  function create_progress_bar (line 4) | def create_progress_bar(dynamic_msg=None):

FILE: evaluation/experiment/utils/training.py
  class DefaultTraining (line 13) | class DefaultTraining(experiment.Training):
    method __init__ (line 14) | def __init__(self, config, config_global, logger):
    method remove_checkpoints (line 30) | def remove_checkpoints(self):
    method start (line 33) | def start(self, model, data, sess, evaluation):
    method record_epoch (line 36) | def record_epoch(self, sess, score):
    method restore_best_weights (line 50) | def restore_best_weights(self, sess):
    method is_early_stopping (line 53) | def is_early_stopping(self):
  class BatchedTraining (line 57) | class BatchedTraining(DefaultTraining):
    method __init__ (line 60) | def __init__(self, config, config_global, logger):
    method get_feed_dict (line 69) | def get_feed_dict(self, model, data, sess):
    method prepare_next_epoch (line 72) | def prepare_next_epoch(self, model, data, sess, epoch):
    method start (line 76) | def start(self, model, data, sess, evaluation):
    method get_n_batches (line 156) | def get_n_batches(self):
  class TrainState (line 160) | class TrainState(object):
    method __init__ (line 161) | def __init__(self, path, less_is_better, logger):
    method initialize (line 174) | def initialize(self):
    method load (line 182) | def load(self, session, weights='last'):
    method record (line 210) | def record(self, session, score):
    method clear (line 221) | def clear(self):
    method saver (line 227) | def saver(self):
    method scores_file (line 233) | def scores_file(self):
    method checkpoint_file (line 237) | def checkpoint_file(self):

FILE: evaluation/experiment/utils/variables.py
  function weight_variable (line 5) | def weight_variable(name, shape, regularization=None):
  function bias_variable (line 12) | def bias_variable(name, shape, value=0.1, regularization=None):

FILE: evaluation/run_multiple_optim_lr.py
  class DataWriter (line 16) | class DataWriter(object):
    method __init__ (line 17) | def __init__(self, path, logger):
    method add_task (line 27) | def add_task(self, task_name):
    method add_data_all (line 41) | def add_data_all(self, data_all):
    method add_data (line 53) | def add_data(self, run_name, data):
    method finish (line 81) | def finish(self):
  function run (line 87) | def run(config_file):

FILE: evaluation/run_single.py
  function run (line 12) | def run(config_file):

FILE: evaluation/test/test_config.py
  class TestConfig (line 6) | class TestConfig(unittest.TestCase):
    method test_read_config_simple (line 7) | def test_read_config_simple(self):
    method test_read_config_merge (line 22) | def test_read_config_merge(self):

FILE: map-word-embeddings/experiment/__init__.py
  class ComponentBase (line 1) | class ComponentBase(object):
    method __init__ (line 2) | def __init__(self, config, config_global, logger):
  class Data (line 14) | class Data(ComponentBase):
    method setup (line 15) | def setup(self):
    method reshuffle (line 18) | def reshuffle(self, repetition):
  class Model (line 23) | class Model(ComponentBase):
    method __init__ (line 24) | def __init__(self, config, config_global, logger):
    method build (line 27) | def build(self, data, sess):
  class Training (line 31) | class Training(ComponentBase):
    method start (line 32) | def start(self, model, data, sess, evaluation):
  class Evaluation (line 44) | class Evaluation(ComponentBase):
    method start (line 45) | def start(self, model, data, sess, valid_only=False):

FILE: map-word-embeddings/experiment/config.py
  function load_config (line 8) | def load_config(config_path, default_config_path=None):
  function read_config (line 25) | def read_config(config_str, default_config_str=None):

FILE: map-word-embeddings/experiment/mapping/data.py
  class FixSpaceData (line 10) | class FixSpaceData(experiment.Data):
    method __init__ (line 11) | def __init__(self, config, config_global, logger):
    method setup (line 28) | def setup(self):
    method load_data (line 53) | def load_data(self, data_path):

FILE: map-word-embeddings/experiment/mapping/data_EMB_server.py
  class FixSpaceData (line 11) | class FixSpaceData(experiment.Data):
    method __init__ (line 12) | def __init__(self, config, config_global, logger):
    method setup (line 28) | def setup(self):
    method load_data (line 48) | def load_data(self, data_path):

FILE: map-word-embeddings/experiment/mapping/evaluation.py
  class FixSpaceEvaluation (line 10) | class FixSpaceEvaluation(experiment.Evaluation):
    method __init__ (line 11) | def __init__(self, config, config_global, logger):
    method start (line 15) | def start(self, model, data, sess, valid_only=False):
    method evaluate (line 95) | def evaluate(self, model, sess, split_data, with_orig=False):

FILE: map-word-embeddings/experiment/mapping/model/transform_both.py
  class FixSpaceModel (line 7) | class FixSpaceModel(Model):
    method __init__ (line 8) | def __init__(self, config, config_global, logger):
    method build (line 11) | def build(self, data, sess):
    method build_input (line 23) | def build_input(self, data, sess):
    method create_outputs (line 29) | def create_outputs(self, source, translation, other):
  function cosine_similarity (line 64) | def cosine_similarity(a, b):
  function hinge_loss (line 76) | def hinge_loss(similarity_good_tensor, similarity_bad_tensor, margin):

FILE: map-word-embeddings/experiment/mapping/model/transform_both_separate.py
  class FixSpaceSeparateTransformationModel (line 7) | class FixSpaceSeparateTransformationModel(FixSpaceModel):
    method __init__ (line 8) | def __init__(self, config, config_global, logger):
    method build (line 11) | def build(self, data, sess):

FILE: map-word-embeddings/experiment/mapping/model/transform_target.py
  class FixSpaceTranslationOnlyModel (line 7) | class FixSpaceTranslationOnlyModel(FixSpaceModel):
    method __init__ (line 8) | def __init__(self, config, config_global, logger):
    method build (line 11) | def build(self, data, sess):

FILE: map-word-embeddings/experiment/mapping/train.py
  class FixSpaceTraining (line 8) | class FixSpaceTraining(BatchedTraining):
    method __init__ (line 9) | def __init__(self, config, config_global, logger):
    method get_feed_dict (line 15) | def get_feed_dict(self, model, data, sess):
    method prepare_next_epoch (line 24) | def prepare_next_epoch(self, model, data, sess, epoch):
    method get_n_batches (line 36) | def get_n_batches(self):
    method get_next_batch (line 39) | def get_next_batch(self, model, data, sess):

FILE: map-word-embeddings/experiment/no_model.py
  class NoModel (line 4) | class NoModel(experiment.Model):
    method build (line 5) | def build(self, data, sess):

FILE: map-word-embeddings/experiment/no_training.py
  class NoTraining (line 4) | class NoTraining(experiment.Training):
    method start (line 5) | def start(self, model, data, sess, evaluation):

FILE: map-word-embeddings/experiment/utils/data.py
  function merge_dicts (line 7) | def merge_dicts(dict_a, dict_b):
  function replace_dict_values (line 24) | def replace_dict_values(source, replacements):
  function read_embeddings (line 45) | def read_embeddings(path, vocab=None, logger=None, is_gzipped=False, ski...
  function unique_items (line 92) | def unique_items(seq):

FILE: map-word-embeddings/experiment/utils/logging_utils.py
  function setup (line 4) | def setup(config):

FILE: map-word-embeddings/experiment/utils/progress.py
  function create_progress_bar (line 4) | def create_progress_bar(dynamic_msg=None):

FILE: map-word-embeddings/experiment/utils/training.py
  class DefaultTraining (line 13) | class DefaultTraining(experiment.Training):
    method __init__ (line 14) | def __init__(self, config, config_global, logger):
    method remove_checkpoints (line 30) | def remove_checkpoints(self):
    method start (line 33) | def start(self, model, data, sess, evaluation):
    method record_epoch (line 36) | def record_epoch(self, sess, score):
    method restore_best_weights (line 50) | def restore_best_weights(self, sess):
    method is_early_stopping (line 53) | def is_early_stopping(self):
  class BatchedTraining (line 57) | class BatchedTraining(DefaultTraining):
    method __init__ (line 60) | def __init__(self, config, config_global, logger):
    method get_feed_dict (line 69) | def get_feed_dict(self, model, data, sess):
    method prepare_next_epoch (line 72) | def prepare_next_epoch(self, model, data, sess, epoch):
    method start (line 76) | def start(self, model, data, sess, evaluation):
    method get_n_batches (line 156) | def get_n_batches(self):
  class TrainState (line 160) | class TrainState(object):
    method __init__ (line 161) | def __init__(self, path, less_is_better, logger):
    method initialize (line 174) | def initialize(self):
    method load (line 182) | def load(self, session, weights='last'):
    method record (line 210) | def record(self, session, score):
    method clear (line 221) | def clear(self):
    method saver (line 227) | def saver(self):
    method scores_file (line 233) | def scores_file(self):
    method checkpoint_file (line 237) | def checkpoint_file(self):

FILE: map-word-embeddings/experiment/utils/variables.py
  function weight_variable (line 5) | def weight_variable(name, shape, regularization=None):
  function bias_variable (line 12) | def bias_variable(name, shape, value=0.1, regularization=None):

FILE: map-word-embeddings/map.py
  function map_embeddings (line 17) | def map_embeddings(embeddings, target, map_url):
  function map_all_embeddings (line 35) | def map_all_embeddings(embeddings_path, out_path, map_url, lang_a, batch...

FILE: map-word-embeddings/run_single.py
  function run (line 12) | def run(config_file):

FILE: map-word-embeddings/test/test_config.py
  class TestConfig (line 6) | class TestConfig(unittest.TestCase):
    method test_read_config_simple (line 7) | def test_read_config_simple(self):
    method test_read_config_merge (line 22) | def test_read_config_merge(self):

FILE: model/main.py
  function start_webserver (line 15) | def start_webserver(model_name, embeddings, host, port, logger):
  function run (line 65) | def run(model, embeddings_folder, webserver_host, webserver_port):

FILE: model/sentence_embeddings.py
  function gen_mean (line 4) | def gen_mean(vals, p):
  function get_sentence_embedding (line 25) | def get_sentence_embedding(sentence, embeddings, chosen_operations):

FILE: model/tfhhub.py
  function non_zero_tokens (line 15) | def non_zero_tokens(tokens):
  function p_mean (line 25) | def p_mean(values, p, n_toks):
  function mean (line 40) | def mean(token_embeddings, non_oov_tokens, non_oov_count):
  function max (line 44) | def max(token_embeddings, non_oov_tokens, non_oov_count):
  function min (line 52) | def min(token_embeddings, non_oov_tokens, non_oov_count):
  function make_module_spec (line 66) | def make_module_spec(model, p_means, names, vocab_files, vocab_sizes):
  function export (line 104) | def export(export_path, model, p_means, names, vocabs, vecs, logger):
  function export_hub_module (line 136) | def export_hub_module(export_path, model, p_means, embeddings_folder, lo...
  function main (line 157) | def main(export_path, model, p_means, embeddings_folder):

FILE: model/word_embeddings.py
  class WordEmbeddings (line 11) | class WordEmbeddings(object):
    method __init__ (line 12) | def __init__(self, alias, base_url, embeddings_filename, approximate_f...
    method download_file (line 23) | def download_file(self, embeddings_folder, logger):
    method load_vectors (line 54) | def load_vectors(self, embeddings_folder, logger):