SYMBOL INDEX (311 symbols across 16 files)

FILE: distkeras/evaluators.py
  class Evaluator (line 6) | class Evaluator(object):
    method __init__ (line 15) | def __init__(self, label_col="label", prediction_col="prediction"):
    method evaluate (line 19) | def evaluate(self, dataframe):
  class AccuracyEvaluator (line 28) | class AccuracyEvaluator(Evaluator):
    method __init__ (line 36) | def __init__(self, label_col="label", prediction_col="prediction"):
    method evaluate (line 40) | def evaluate(self, dataframe):

FILE: distkeras/job_deployment.py
  class Punchcard (line 37) | class Punchcard(object):
    method __init__ (line 39) | def __init__(self, secrets_path="secrets.json", port=80):
    method read_secrets (line 46) | def read_secrets(self):
    method valid_secret (line 53) | def valid_secret(self, secret, secrets):
    method secret_in_use (line 61) | def secret_in_use(self, secret):
    method set_trained_model (line 64) | def set_trained_model(self, job, model):
    method get_submitted_job (line 68) | def get_submitted_job(self, secret):
    method define_routes (line 77) | def define_routes(self):
    method run (line 147) | def run(self):
  class PunchcardJob (line 152) | class PunchcardJob(object):
    method __init__ (line 154) | def __init__(self, secret, job_name, data_path, num_executors, num_pro...
    method get_job_name (line 166) | def get_job_name(self):
    method get_secret (line 169) | def get_secret(self):
    method get_history (line 172) | def get_history(self):
    method get_trained_model (line 175) | def get_trained_model(self):
    method start (line 178) | def start(self):
    method cancel (line 184) | def cancel(self):
    method running (line 187) | def running(self):
    method join (line 190) | def join(self):
    method run_job (line 193) | def run_job(self):
    method clean_up (line 196) | def clean_up(self):
    method read_trained_model (line 202) | def read_trained_model(self):
    method read_history (line 207) | def read_history(self):
    method serialize_trainer (line 212) | def serialize_trainer(self):
    method generate_code (line 218) | def generate_code(self):
    method run (line 274) | def run(self):
  class Job (line 284) | class Job(object):
    method __init__ (line 286) | def __init__(self, secret, job_name, data_path, num_executors, num_pro...
    method set_num_executors (line 297) | def set_num_executors(self, num_executors):
    method set_num_processes (line 300) | def set_num_processes(self, num_processes):
    method get_trained_model (line 303) | def get_trained_model(self):
    method get_history (line 306) | def get_history(self):
    method is_finished (line 309) | def is_finished(self):
    method destroy_remote_job (line 317) | def destroy_remote_job(self):
    method start (line 326) | def start(self):
    method wait_completion (line 330) | def wait_completion(self):
    method cancel (line 333) | def cancel(self):
    method send (line 338) | def send(self, address):
    method run (line 352) | def run(self):

FILE: distkeras/networking.py
  function determine_host_address (line 11) | def determine_host_address():
  function recvall (line 18) | def recvall(connection, num_bytes):
  function recv_data (line 42) | def recv_data(connection):
  function send_data (line 65) | def send_data(connection, data):
  function connect (line 89) | def connect(host, port, disable_nagle=True):

FILE: distkeras/parameter_servers.py
  class ParameterServer (line 26) | class ParameterServer(object):
    method __init__ (line 35) | def __init__(self, model):
    method initialize (line 39) | def initialize(self):
    method start (line 46) | def start(self):
    method run (line 50) | def run(self):
    method stop (line 54) | def stop(self):
    method get_model (line 58) | def get_model(self):
    method next_update (line 62) | def next_update(self):
    method reset_update_counter (line 66) | def reset_update_counter(self):
    method get_num_updates (line 70) | def get_num_updates(self):
  class SocketParameterServer (line 75) | class SocketParameterServer(ParameterServer):
    method __init__ (line 89) | def __init__(self, model, port=5000):
    method initialize (line 97) | def initialize(self):
    method handle_commit (line 117) | def handle_commit(self, conn, addr):
    method handle_pull (line 126) | def handle_pull(self, conn, addr):
    method cancel_accept (line 141) | def cancel_accept(self):
    method handle_connection (line 153) | def handle_connection(self, conn, addr):
    method start (line 174) | def start(self):
    method run (line 179) | def run(self):
    method stop (line 194) | def stop(self):
    method finalize (line 206) | def finalize(self):
    method cleanup_connections (line 210) | def cleanup_connections(self):
  class DeltaParameterServer (line 219) | class DeltaParameterServer(SocketParameterServer):
    method __init__ (line 228) | def __init__(self, model, master_port):
    method handle_commit (line 232) | def handle_commit(self, conn, addr):
    method handle_pull (line 243) | def handle_pull(self, conn, addr):
    method finalize (line 257) | def finalize(self):
  class ADAGParameterServer (line 262) | class ADAGParameterServer(SocketParameterServer):
    method __init__ (line 272) | def __init__(self, model, master_port):
    method handle_commit (line 276) | def handle_commit(self, conn, addr):
    method handle_pull (line 287) | def handle_pull(self, conn, addr):
    method finalize (line 301) | def finalize(self):
  class DynSGDParameterServer (line 306) | class DynSGDParameterServer(SocketParameterServer):
    method __init__ (line 316) | def __init__(self, model, master_port):
    method handle_pull (line 319) | def handle_pull(self, conn, addr):
    method handle_commit (line 342) | def handle_commit(self, conn, addr):
  class ExperimentalParameterServer (line 357) | class ExperimentalParameterServer(SocketParameterServer):
    method __init__ (line 367) | def __init__(self, model, master_port, learning_rate):
    method handle_commit (line 372) | def handle_commit(self, conn, addr):
    method handle_pull (line 388) | def handle_pull(self, conn, addr):
    method finalize (line 402) | def finalize(self):

FILE: distkeras/predictors.py
  class Predictor (line 15) | class Predictor(object):
    method __init__ (line 22) | def __init__(self, keras_model):
    method predict (line 25) | def predict(self, dataframe):
  class ModelPredictor (line 34) | class ModelPredictor(Predictor):
    method __init__ (line 44) | def __init__(self, keras_model, features_col="features", output_col="p...
    method _predict (line 50) | def _predict(self, iterator):
    method predict (line 64) | def predict(self, dataframe):

FILE: distkeras/schemes.py
  class Scheme (line 13) | class Scheme(object):
    method __init__ (line 26) | def __init__(self, optimizer, num_epoch=15, evaluation_frequency=5):
    method initialize (line 33) | def initialize(self):
    method get_epoch_over_evaluation_frequency (line 37) | def get_epoch_over_evaluation_frequency(self):
    method optimize (line 41) | def optimize(self, training_set, validation_set):
  class Emperor (line 45) | class Emperor(Scheme):
    method __init__ (line 57) | def __init__(self, optimizer, evaluate_loss, num_epoch=15, evaluation_...
    method optimize (line 64) | def optimize(self, training_set, validation_set):

FILE: distkeras/trainers.py
  class Trainer (line 39) | class Trainer(object):
    method __init__ (line 54) | def __init__(self, keras_model, loss, worker_optimizer, metrics=["accu...
    method set_max_prefetch (line 67) | def set_max_prefetch(self, max_mini_batches):
    method set_model (line 71) | def set_model(self, model):
    method record_training_start (line 75) | def record_training_start(self):
    method record_training_end (line 83) | def record_training_end(self):
    method get_training_time (line 91) | def get_training_time(self):
    method get_history (line 95) | def get_history(self):
    method get_averaged_history (line 99) | def get_averaged_history(self):
    method get_executor_history (line 103) | def get_executor_history(self, executor_id):
    method train (line 107) | def train(self, dataframe, shuffle=False):
    method serialize (line 119) | def serialize(self):
  class SingleTrainer (line 123) | class SingleTrainer(Trainer):
    method __init__ (line 141) | def __init__(self, keras_model, worker_optimizer, loss, metrics=["accu...
    method allocate_worker (line 149) | def allocate_worker(self):
    method train (line 161) | def train(self, dataframe, shuffle=False):
  class AveragingTrainer (line 192) | class AveragingTrainer(Trainer):
    method __init__ (line 212) | def __init__(self, keras_model, worker_optimizer, loss, metrics=["accu...
    method average_models (line 223) | def average_models(self, models):
    method allocate_worker (line 242) | def allocate_worker(self):
    method train (line 250) | def train(self, dataframe, shuffle=False):
  class EnsembleTrainer (line 285) | class EnsembleTrainer(Trainer):
    method __init__ (line 305) | def __init__(self, keras_model, worker_optimizer, loss, metrics=["accu...
    method allocate_worker (line 313) | def allocate_worker(self):
    method train (line 321) | def train(self, dataframe, shuffle=False):
  class DistributedTrainer (line 355) | class DistributedTrainer(Trainer):
    method __init__ (line 375) | def __init__(self, keras_model, worker_optimizer, loss, metrics=["accu...
    method set_minibatch_size (line 389) | def set_minibatch_size(self, size):
    method get_minibatch_size (line 393) | def get_minibatch_size(self):
    method get_features_column (line 397) | def get_features_column(self):
    method get_label_column (line 401) | def get_label_column(self):
    method get_learning_rate (line 405) | def get_learning_rate(self):
    method set_learning_rate (line 413) | def set_learning_rate(self, learning_rate):
    method set_num_epoch (line 421) | def set_num_epoch(self, num_epoch):
    method get_num_epoch (line 425) | def get_num_epoch(self):
    method allocate_worker (line 429) | def allocate_worker(self):
    method set_master (line 436) | def set_master(self, master):
    method determine_new_master (line 440) | def determine_new_master(self):
    method allocate_parameter_server (line 444) | def allocate_parameter_server(self):
    method set_num_workers (line 454) | def set_num_workers(self, num_workers):
    method get_num_workers (line 458) | def get_num_workers(self):
    method num_updates (line 462) | def num_updates(self):
    method service (line 466) | def service(self):
    method stop_service (line 472) | def stop_service(self):
    method start_service (line 478) | def start_service(self):
    method train (line 488) | def train(self, dataframe, shuffle=False):
  class AsynchronousDistributedTrainer (line 535) | class AsynchronousDistributedTrainer(DistributedTrainer):
    method __init__ (line 568) | def __init__(self, keras_model, worker_optimizer, loss, metrics=["accu...
    method allocate_worker (line 576) | def allocate_worker(self):
    method set_parallelism_factor (line 583) | def set_parallelism_factor(self, factor):
    method get_parallelism_factor (line 591) | def get_parallelism_factor(self):
    method train (line 595) | def train(self, dataframe, shuffle=False):
  class AEASGD (line 642) | class AEASGD(AsynchronousDistributedTrainer):
    method __init__ (line 672) | def __init__(self, keras_model, worker_optimizer, loss, metrics=["accu...
    method allocate_worker (line 681) | def allocate_worker(self):
  class DOWNPOUR (line 692) | class DOWNPOUR(AsynchronousDistributedTrainer):
    method __init__ (line 720) | def __init__(self, keras_model, worker_optimizer, loss, metrics=["accu...
    method allocate_worker (line 726) | def allocate_worker(self):
  class EAMSGD (line 736) | class EAMSGD(AsynchronousDistributedTrainer):
    method __init__ (line 769) | def __init__(self, keras_model, worker_optimizer, loss, metrics=["accu...
    method allocate_worker (line 779) | def allocate_worker(self):
  class ADAG (line 790) | class ADAG(AsynchronousDistributedTrainer):
    method __init__ (line 815) | def __init__(self, keras_model, worker_optimizer, loss, metrics=["accu...
    method allocate_worker (line 823) | def allocate_worker(self):
    method allocate_parameter_server (line 831) | def allocate_parameter_server(self):
  class DynSGD (line 838) | class DynSGD(AsynchronousDistributedTrainer):
    method __init__ (line 865) | def __init__(self, keras_model, worker_optimizer, loss, metrics=["accu...
    method allocate_worker (line 873) | def allocate_worker(self):
    method allocate_parameter_server (line 881) | def allocate_parameter_server(self):
  class Experimental (line 888) | class Experimental(AsynchronousDistributedTrainer):
    method __init__ (line 891) | def __init__(self, keras_model, worker_optimizer, loss, metrics=["accu...
    method allocate_worker (line 901) | def allocate_worker(self):
    method allocate_parameter_server (line 910) | def allocate_parameter_server(self):

FILE: distkeras/transformers.py
  class Transformer (line 23) | class Transformer(object):
    method transform (line 26) | def transform(self, dataframe):
  class MinMaxTransformer (line 35) | class MinMaxTransformer(Transformer):
    method __init__ (line 53) | def __init__(self, o_min, o_max, n_min, n_max, input_col, output_col, ...
    method _transform (line 63) | def _transform(self, row):
    method transform (line 80) | def transform(self, dataframe):
  class BinaryLabelTransformer (line 89) | class BinaryLabelTransformer(Transformer):
    method __init__ (line 100) | def __init__(self, input_column, output_column, label):
    method _transform (line 105) | def _transform(self, row):
    method transform (line 119) | def transform(self, dataframe):
  class StandardTransformer (line 128) | class StandardTransformer(Transformer):
    method __init__ (line 139) | def __init__(self, columns, suffix="_normalized"):
    method clean_mean_keys (line 146) | def clean_mean_keys(self, means):
    method clean_stddev_keys (line 155) | def clean_stddev_keys(self, stddevs):
    method _transform (line 164) | def _transform(self, row):
    method transform (line 175) | def transform(self, dataframe):
  class DenseTransformer (line 197) | class DenseTransformer(Transformer):
    method __init__ (line 205) | def __init__(self, input_col, output_col):
    method _transform (line 209) | def _transform(self, row):
    method transform (line 217) | def transform(self, dataframe):
  class ReshapeTransformer (line 228) | class ReshapeTransformer(Transformer):
    method __init__ (line 241) | def __init__(self, input_col, output_col, shape):
    method _transform (line 246) | def _transform(self, row):
    method transform (line 255) | def transform(self, dataframe):
  class OneHotTransformer (line 266) | class OneHotTransformer(Transformer):
    method __init__ (line 275) | def __init__(self, output_dim, input_col, output_col):
    method _transform (line 280) | def _transform(self, row):
    method transform (line 291) | def transform(self, dataframe):
  class LabelIndexTransformer (line 302) | class LabelIndexTransformer(Transformer):
    method __init__ (line 313) | def __init__(self, output_dim, input_col="prediction", output_col="pre...
    method get_index (line 321) | def get_index(self, vector):
    method _transform (line 334) | def _transform(self, row):
    method transform (line 342) | def transform(self, dataframe):

FILE: distkeras/utils.py
  function get_os_username (line 28) | def get_os_username():
  function set_keras_base_directory (line 36) | def set_keras_base_directory(base_dir='/tmp/' + get_os_username()):
  function to_one_hot_encoded_dense (line 41) | def to_one_hot_encoded_dense(value, n_dim=2):
  function new_dataframe_row (line 55) | def new_dataframe_row(old_row, column_name, column_value):
  function json_to_dataframe_row (line 62) | def json_to_dataframe_row(string):
  function pickle_object (line 70) | def pickle_object(o):
  function unpickle_object (line 75) | def unpickle_object(string):
  function serialize_keras_model (line 80) | def serialize_keras_model(model):
  function history_executors_average (line 89) | def history_executors_average(history):
  function history_executor (line 113) | def history_executor(history, id):
  function deserialize_keras_model (line 121) | def deserialize_keras_model(dictionary):
  function uniform_weights (line 131) | def uniform_weights(model, constraints=[-0.5, 0.5]):
  function shuffle (line 161) | def shuffle(dataset):
  function precache (line 173) | def precache(dataset, num_workers):

FILE: distkeras/workers.py
  class Worker (line 49) | class Worker(object):
    method __init__ (line 55) | def __init__(self, model, optimizer, loss, loss_weights, metrics=["acc...
    method set_max_prefetch (line 79) | def set_max_prefetch(self, max_mini_batches):
    method set_learning_rate (line 83) | def set_learning_rate(self, learning_rate):
    method get_learning_rate (line 87) | def get_learning_rate(self):
    method set_worker_id (line 91) | def set_worker_id(self, worker_id):
    method get_worker_id (line 99) | def get_worker_id(self):
    method prepare_model (line 103) | def prepare_model(self):
    method get_next_minibatch (line 121) | def get_next_minibatch(self):
    method start_prefetching_thread (line 125) | def start_prefetching_thread(self, iterator):
    method prefetching (line 132) | def prefetching(self):
    method optimize (line 153) | def optimize(self):
    method train (line 157) | def train(self, worker_id, iterator):
  class SequentialWorker (line 181) | class SequentialWorker(Worker):
    method __init__ (line 187) | def __init__(self, model, optimizer, loss, loss_weights, metrics=["acc...
    method optimize (line 193) | def optimize(self):
  class NetworkWorker (line 205) | class NetworkWorker(Worker):
    method __init__ (line 208) | def __init__(self, model, optimizer, loss, loss_weights, metrics=["acc...
    method connect (line 220) | def connect(self):
    method pull (line 224) | def pull(self):
    method commit (line 231) | def commit(self, residual):
    method set_tcp_no_delay (line 242) | def set_tcp_no_delay(self, flag):
    method tcp_no_delay (line 252) | def tcp_no_delay(self):
    method get_master_host (line 260) | def get_master_host(self):
    method get_master_port (line 264) | def get_master_port(self):
    method add_history (line 268) | def add_history(self, h):
    method optimize (line 277) | def optimize(self):
    method train (line 281) | def train(self, worker_id, iterator):
  class ADAGWorker (line 301) | class ADAGWorker(NetworkWorker):
    method __init__ (line 307) | def __init__(self, model, optimizer, loss, loss_weights, metrics=["acc...
    method commit (line 316) | def commit(self, residual):
    method optimize (line 327) | def optimize(self):
  class DOWNPOURWorker (line 345) | class DOWNPOURWorker(NetworkWorker):
    method __init__ (line 352) | def __init__(self, model, optimizer, loss, loss_weights, metrics=["acc...
    method optimize (line 360) | def optimize(self):
  class AEASGDWorker (line 377) | class AEASGDWorker(NetworkWorker):
    method __init__ (line 384) | def __init__(self, model, optimizer, loss, loss_weights, metrics=['acc...
    method optimize (line 397) | def optimize(self):
  class EAMSGDWorker (line 413) | class EAMSGDWorker(NetworkWorker):
    method __init__ (line 420) | def __init__(self, model, optimizer, loss, loss_weights, metrics=['acc...
    method optimize (line 434) | def optimize(self):
  class DynSGDWorker (line 461) | class DynSGDWorker(NetworkWorker):
    method __init__ (line 464) | def __init__(self, model, optimizer, loss, loss_weights, metrics=["acc...
    method pull (line 474) | def pull(self):
    method commit (line 483) | def commit(self, residual):
    method optimize (line 495) | def optimize(self):
  class ExperimentalWorker (line 512) | class ExperimentalWorker(NetworkWorker):
    method __init__ (line 518) | def __init__(self, model, optimizer, loss, loss_weights, metrics=["acc...
    method commit (line 531) | def commit(self, residual):
    method pull (line 543) | def pull(self):
    method optimize (line 550) | def optimize(self):

FILE: examples/kafka_producer.py
  function usage (line 20) | def usage():
  function allocate_producer (line 27) | def allocate_producer(bootstrap_server):
  function read_data (line 32) | def read_data():
  function produce (line 45) | def produce(producer, topic, data):
  function main (line 49) | def main():

FILE: examples/mnist.py
  function evaluate_accuracy (line 173) | def evaluate_accuracy(model, test_set, features="matrix"):

FILE: resources/blog-posts/js/highlight.pack.js
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  function R (line 2) | function R(e){return e=(e||"").toLowerCase(),x[e]||x[L[e]]}

FILE: resources/blog-posts/js/main.js
  function addRippleEffects (line 36) | function addRippleEffects() {
  function renderMath (line 44) | function renderMath() {

FILE: scripts/generate_secret.py
  function generate_secret (line 19) | def generate_secret(identity):
  function parse_arguments (line 26) | def parse_arguments():
  function main (line 34) | def main():

FILE: scripts/punchcard.py
  function parse_arguments (line 20) | def parse_arguments():
  function start_punchcard (line 29) | def start_punchcard(port, secrets):
  function main (line 33) | def main():