SYMBOL INDEX (237 symbols across 68 files)

FILE: cloud_run/twilio_vision/src/whats_that.py
  function receive_message (line 46) | def receive_message():
  function construct_message (line 84) | def construct_message(labels, face_annotations, logos):
  function extract_sentiment (line 130) | def extract_sentiment(emotions):
  function get_labels (line 148) | def get_labels(image, num_retries=3, max_labels=3, max_faces=10, max_log...

FILE: ml/automl/tables/kfp_e2e/create_dataset_for_tables/tables_component.py
  function automl_create_dataset_for_tables (line 18) | def automl_create_dataset_for_tables(

FILE: ml/automl/tables/kfp_e2e/create_model_for_tables/tables_component.py
  function automl_create_model_for_tables (line 18) | def automl_create_model_for_tables(

FILE: ml/automl/tables/kfp_e2e/create_model_for_tables/tables_eval_component.py
  function automl_eval_tables_model (line 19) | def automl_eval_tables_model(

FILE: ml/automl/tables/kfp_e2e/create_model_for_tables/tables_eval_metrics_component.py
  function automl_eval_metrics (line 21) | def automl_eval_metrics(

FILE: ml/automl/tables/kfp_e2e/deploy_model_for_tables/convert_oss.py
  function import_to_tensorboard (line 30) | def import_to_tensorboard(saved_model, output_dir):
  function main (line 56) | def main(argv):

FILE: ml/automl/tables/kfp_e2e/deploy_model_for_tables/exported_model_deploy.py
  function main (line 21) | def main():

FILE: ml/automl/tables/kfp_e2e/deploy_model_for_tables/tables_deploy_component.py
  function automl_deploy_tables_model (line 17) | def automl_deploy_tables_model(

FILE: ml/automl/tables/kfp_e2e/import_data_from_bigquery/tables_component.py
  function automl_import_data_for_tables (line 18) | def automl_import_data_for_tables(

FILE: ml/automl/tables/kfp_e2e/import_data_from_bigquery/tables_schema_component.py
  function automl_set_dataset_schema (line 19) | def automl_set_dataset_schema(

FILE: ml/automl/tables/kfp_e2e/tables_pipeline_caip.py
  function automl_tables (line 49) | def automl_tables(  #pylint: disable=unused-argument

FILE: ml/automl/tables/kfp_e2e/tables_pipeline_kf.py
  function automl_tables (line 49) | def automl_tables(  #pylint: disable=unused-argument

FILE: ml/automl/tables/model_export/convert_oss.py
  function import_to_tensorboard (line 29) | def import_to_tensorboard(saved_model, output_dir):
  function main (line 55) | def main(argv):

FILE: ml/census_train_and_eval/trainer/model.py
  function build_estimator (line 89) | def build_estimator(config, embedding_size=8, hidden_units=None):
  function parse_label_column (line 176) | def parse_label_column(label_string_tensor):
  function csv_serving_input_fn (line 198) | def csv_serving_input_fn():
  function example_serving_input_fn (line 209) | def example_serving_input_fn():
  function json_serving_input_fn (line 225) | def json_serving_input_fn():
  function parse_csv (line 241) | def parse_csv(rows_string_tensor):
  function input_fn (line 258) | def input_fn(filenames,

FILE: ml/census_train_and_eval/trainer/task.py
  function run_experiment (line 23) | def run_experiment(hparams):

FILE: ml/kubeflow-pipelines/components/automl/dataset_train/dataset_model.py
  function create_dataset (line 35) | def create_dataset(project_id, compute_region, dataset_name, multilabel=...
  function import_data (line 74) | def import_data(project_id, compute_region, dataset_id, csv_path):
  function create_model (line 97) | def create_model(
  function main (line 127) | def main(argv=None):

FILE: ml/kubeflow-pipelines/components/cmle/deploy/deploy_model.py
  function main (line 24) | def main(argv=None):

FILE: ml/kubeflow-pipelines/components/older/dataflow/taxi_schema/taxi_schema/taxi_schema.py
  function transformed_name (line 81) | def transformed_name(key):
  function transformed_names (line 85) | def transformed_names(keys):
  function get_raw_feature_spec (line 90) | def get_raw_feature_spec(schema):
  function make_proto_coder (line 94) | def make_proto_coder(schema):
  function make_csv_coder (line 100) | def make_csv_coder(schema):
  function clean_raw_data_dict (line 107) | def clean_raw_data_dict(input_dict, raw_feature_spec):
  function make_sql (line 119) | def make_sql(table_name, max_rows=None, for_eval=False):
  function read_schema (line 167) | def read_schema(path):

FILE: ml/kubeflow-pipelines/components/older/dataflow/tfma/model_analysis-taxi.py
  function run_tfma (line 77) | def run_tfma(slice_spec, eval_model_base_dir, tfma_run_dir, input_csv,
  function parse_arguments (line 162) | def parse_arguments():
  function main (line 192) | def main():

FILE: ml/kubeflow-pipelines/components/older/dataflow/tft/mcsv_coder.py
  function _utf8 (line 32) | def _utf8(s):
  function _to_string (line 39) | def _to_string(x):
  function _make_cast_fn (line 44) | def _make_cast_fn(dtype):
  function _decode_with_reader (line 78) | def _decode_with_reader(value, reader):
  class _FixedLenFeatureHandler (line 96) | class _FixedLenFeatureHandler(object):
    method __init__ (line 104) | def __init__(self, name, feature_spec, index, reader=None, encoder=None):
    method name (line 124) | def name(self):
    method parse_value (line 127) | def parse_value(self, string_list):
    method encode_value (line 159) | def encode_value(self, string_list, values):
  class _VarLenFeatureHandler (line 182) | class _VarLenFeatureHandler(object):
    method __init__ (line 190) | def __init__(self, name, feature_spec, index, reader=None, encoder=None):
    method name (line 198) | def name(self):
    method parse_value (line 201) | def parse_value(self, string_list):
    method encode_value (line 212) | def encode_value(self, string_list, values):
  class _SparseFeatureHandler (line 220) | class _SparseFeatureHandler(object):
    method __init__ (line 227) | def __init__(self, name, feature_spec, value_index, index_index,
    method name (line 240) | def name(self):
    method parse_value (line 243) | def parse_value(self, string_list):
    method encode_value (line 279) | def encode_value(self, string_list, sparse_value):
  class DecodeError (line 297) | class DecodeError(Exception):
  class EncodeError (line 302) | class EncodeError(Exception):
  class _LineGenerator (line 307) | class _LineGenerator(object):
    method __init__ (line 310) | def __init__(self):
    method push_line (line 313) | def push_line(self, line):
    method __iter__ (line 318) | def __iter__(self):
    method next (line 321) | def next(self):
  class CsvCoder (line 336) | class CsvCoder(object):
    class _ReaderWrapper (line 339) | class _ReaderWrapper(object):
      method __init__ (line 342) | def __init__(self, delimiter):
      method read_record (line 347) | def read_record(self, x):
      method __getstate__ (line 351) | def __getstate__(self):
      method __setstate__ (line 354) | def __setstate__(self, state):
    class _WriterWrapper (line 357) | class _WriterWrapper(object):
      method __init__ (line 360) | def __init__(self, delimiter):
      method encode_record (line 376) | def encode_record(self, record):
      method __getstate__ (line 384) | def __getstate__(self):
      method __setstate__ (line 387) | def __setstate__(self, state):
    method __init__ (line 390) | def __init__(self, column_names, schema, delimiter=',',
    method __reduce__ (line 461) | def __reduce__(self):
    method encode (line 468) | def encode(self, instance):
    method decode (line 490) | def decode(self, csv_string):

FILE: ml/kubeflow-pipelines/components/older/dataflow/tft/preprocessing.py
  function _fill_in_missing (line 50) | def _fill_in_missing(x):
  function preprocessing_fn (line 69) | def preprocessing_fn(inputs):

FILE: ml/kubeflow-pipelines/components/older/dataflow/tft/preprocessing2.py
  function _fill_in_missing (line 50) | def _fill_in_missing(x):
  function preprocessing_fn (line 69) | def preprocessing_fn(inputs):

FILE: ml/kubeflow-pipelines/components/older/dataflow/tft/taxi_preprocess_bq.py
  function make_mcsv_coder (line 44) | def make_mcsv_coder(schema):
  function _fill_in_missing (line 50) | def _fill_in_missing(x):
  function make_sql (line 68) | def make_sql(table_name, ts1, ts2, stage, max_rows=None, for_eval=False):
  function transform_data (line 127) | def transform_data(input_handle,
  function main (line 284) | def main():

FILE: ml/kubeflow-pipelines/components/older/kubeflow/launcher/train.py
  function _generate_train_yaml (line 35) | def _generate_train_yaml(src_filename, tfjob_ns, workers, pss, args_list):
  function main (line 61) | def main(argv=None):

FILE: ml/kubeflow-pipelines/components/older/kubeflow/taxi_model/trainer/model.py
  function build_estimator (line 28) | def build_estimator(tf_transform_dir, config, hidden_units=None):
  function example_serving_receiver_fn (line 76) | def example_serving_receiver_fn(tf_transform_dir, schema):
  function eval_input_receiver_fn (line 103) | def eval_input_receiver_fn(tf_transform_dir, schema):
  function _gzip_reader_fn (line 148) | def _gzip_reader_fn():
  function input_fn (line 155) | def input_fn(filenames, tf_transform_dir, batch_size=200):

FILE: ml/kubeflow-pipelines/components/older/kubeflow/taxi_model/trainer/task.py
  function train_and_maybe_evaluate (line 42) | def train_and_maybe_evaluate(train_files, eval_files, hparams):
  function run_experiment (line 99) | def run_experiment(train_files, eval_files, hparams):

FILE: ml/kubeflow-pipelines/components/older/kubeflow/taxi_model/trainer/taxi.py
  function transformed_name (line 81) | def transformed_name(key):
  function transformed_names (line 85) | def transformed_names(keys):
  function get_raw_feature_spec (line 90) | def get_raw_feature_spec(schema):
  function make_proto_coder (line 94) | def make_proto_coder(schema):
  function make_csv_coder (line 100) | def make_csv_coder(schema):
  function clean_raw_data_dict (line 107) | def clean_raw_data_dict(input_dict, raw_feature_spec):
  function make_sql (line 119) | def make_sql(table_name, max_rows=None, for_eval=False):
  function read_schema (line 167) | def read_schema(path):

FILE: ml/kubeflow-pipelines/components/older/kubeflow/tf-serving-gh/deploy-tf-serve.py
  function main (line 26) | def main():

FILE: ml/kubeflow-pipelines/components/older/kubeflow/tf-serving/chicago_taxi_client.py
  function _do_local_inference (line 37) | def _do_local_inference(host, port, serialized_examples, model_name):
  function _do_mlengine_inference (line 57) | def _do_mlengine_inference(model, version, serialized_examples):
  function _do_inference (line 76) | def _do_inference(model_handle, examples_file, num_examples, schema, mod...
  function main (line 128) | def main(_):

FILE: ml/kubeflow-pipelines/components/older/kubeflow/tf-serving/deploy-tf-serve.py
  function main (line 30) | def main(argv=None):

FILE: ml/kubeflow-pipelines/components/older/t2t/t2t-app/app/ghsumm/trainer/problem.py
  class GhProblem (line 9) | class GhProblem(text_problems.Text2TextProblem):
    method approx_vocab_size (line 13) | def approx_vocab_size(self):
    method is_generate_per_split (line 17) | def is_generate_per_split(self):
    method max_subtoken_length (line 22) | def max_subtoken_length(self):
    method dataset_splits (line 26) | def dataset_splits(self):
    method generate_samples (line 37) | def generate_samples(self, data_dir, tmp_dir, dataset_split):  #pylint...

FILE: ml/kubeflow-pipelines/components/older/t2t/t2t-app/app/main.py
  function get_issue_body (line 62) | def get_issue_body(issue_url):
  function index (line 76) | def index():
  function random_github_issue (line 80) | def random_github_issue():
  function summary (line 92) | def summary():
  function init (line 120) | def init():
  function make_tfserving_rest_request_fn (line 131) | def make_tfserving_rest_request_fn():
  function server_error (line 155) | def server_error(e):

FILE: ml/kubeflow-pipelines/components/older/t2t/t2t-proc/ghsumm/trainer/problem.py
  class GhProblem (line 9) | class GhProblem(text_problems.Text2TextProblem):
    method approx_vocab_size (line 13) | def approx_vocab_size(self):
    method is_generate_per_split (line 17) | def is_generate_per_split(self):
    method max_subtoken_length (line 22) | def max_subtoken_length(self):
    method dataset_splits (line 26) | def dataset_splits(self):
    method generate_samples (line 37) | def generate_samples(self, data_dir, tmp_dir, dataset_split):  #pylint...

FILE: ml/kubeflow-pipelines/components/older/t2t/t2t-train/ghsumm/trainer/problem.py
  class GhProblem (line 9) | class GhProblem(text_problems.Text2TextProblem):
    method approx_vocab_size (line 13) | def approx_vocab_size(self):
    method is_generate_per_split (line 17) | def is_generate_per_split(self):
    method max_subtoken_length (line 22) | def max_subtoken_length(self):
    method dataset_splits (line 26) | def dataset_splits(self):
    method generate_samples (line 37) | def generate_samples(self, data_dir, tmp_dir, dataset_split):  #pylint...

FILE: ml/kubeflow-pipelines/components/older/t2t/t2t-train/train_model.py
  function main (line 22) | def main():

FILE: ml/kubeflow-pipelines/components/older/t2t/webapp-launcher/deploy-webapp.py
  function main (line 23) | def main():

FILE: ml/kubeflow-pipelines/keras_tuner/components/kubeflow-resources/bikesw_training/bikes_weather_limited.py
  function create_model (line 35) | def create_model(learning_rate, hidden_size, num_hidden_layers):
  function main (line 60) | def main():

FILE: ml/kubeflow-pipelines/keras_tuner/components/kubeflow-resources/bikesw_training/bw_hptune_standalone.py
  function create_model (line 35) | def create_model(hp):
  function main (line 60) | def main():

FILE: ml/kubeflow-pipelines/keras_tuner/components/kubeflow-resources/bikesw_training/bwmodel/model.py
  function load_dataset (line 31) | def load_dataset(pattern, batch_size=1):
  function features_and_labels (line 34) | def features_and_labels(features):
  function read_dataset (line 39) | def read_dataset(pattern, batch_size, mode=tf.estimator.ModeKeys.TRAIN, ...
  function get_layers (line 51) | def get_layers():
  function wide_and_deep_classifier (line 96) | def wide_and_deep_classifier(inputs, linear_feature_columns, dnn_feature...

FILE: ml/kubeflow-pipelines/keras_tuner/components/kubeflow-resources/bikesw_training/deploy_tuner.py
  function main (line 27) | def main():

FILE: ml/kubeflow-pipelines/keras_tuner/components/kubeflow-resources/bikesw_training/eval_metrics.py
  function eval_metrics (line 21) | def eval_metrics(

FILE: ml/kubeflow-pipelines/keras_tuner/components/kubeflow-resources/tf-serving/deploy-tfserve.py
  function main (line 26) | def main():

FILE: ml/kubeflow-pipelines/keras_tuner/components/tfdv/tfdv.py
  function generate_tfdv_stats (line 18) | def generate_tfdv_stats(input_data: str, output_path: str, job_name: str...

FILE: ml/kubeflow-pipelines/keras_tuner/components/tfdv/tfdv_compare.py
  function tfdv_detect_drift (line 18) | def tfdv_detect_drift(

FILE: ml/kubeflow-pipelines/keras_tuner/example_pipelines/bw_ktune.py
  function bikes_weather_hptune (line 38) | def bikes_weather_hptune(  #pylint: disable=unused-argument

FILE: ml/kubeflow-pipelines/keras_tuner/example_pipelines/bw_ktune_metrics.py
  function bikes_weather_hptune (line 41) | def bikes_weather_hptune(  #pylint: disable=unused-argument

FILE: ml/kubeflow-pipelines/keras_tuner/example_pipelines/bw_tfdv.py
  function bikes_weather_tfdv (line 48) | def bikes_weather_tfdv(

FILE: ml/kubeflow-pipelines/keras_tuner/example_pipelines/bw_train.py
  function bikes_weather (line 38) | def bikes_weather(  #pylint: disable=unused-argument

FILE: ml/kubeflow-pipelines/keras_tuner/example_pipelines/bw_train_metrics.py
  function bikes_weather_metrics (line 41) | def bikes_weather_metrics(  #pylint: disable=unused-argument

FILE: ml/kubeflow-pipelines/samples/automl/dataset_and_train.py
  function automl1 (line 26) | def automl1(  #pylint: disable=unused-argument

FILE: ml/kubeflow-pipelines/samples/kubeflow-tf/older/gh_summ.py
  function gh_summ (line 24) | def gh_summ(  #pylint: disable=unused-argument

FILE: ml/kubeflow-pipelines/samples/kubeflow-tf/older/gh_summ_serve.py
  function gh_summ (line 22) | def gh_summ(

FILE: ml/kubeflow-pipelines/samples/kubeflow-tf/older/workflow1.py
  function workflow1 (line 24) | def workflow1(

FILE: ml/kubeflow-pipelines/samples/kubeflow-tf/older/workflow2.py
  function workflow2 (line 26) | def workflow2(

FILE: ml/kubeflow-pipelines/sbtb/components/kubeflow-resources/bikesw_training/bikes_weather.py
  function load_dataset (line 48) | def load_dataset(pattern, batch_size=1):
  function features_and_labels (line 51) | def features_and_labels(features):
  function read_dataset (line 56) | def read_dataset(pattern, batch_size, mode=tf.estimator.ModeKeys.TRAIN, ...
  function wide_and_deep_classifier (line 70) | def wide_and_deep_classifier(inputs, linear_feature_columns, dnn_feature...
  function create_model (line 86) | def create_model(learning_rate, load_checkpoint):
  function main (line 155) | def main():

FILE: ml/kubeflow-pipelines/sbtb/components/kubeflow-resources/tf-serving/deploy-tfserve.py
  function main (line 26) | def main():

FILE: ml/kubeflow-pipelines/sbtb/example_pipelines/bw.py
  function bikes_weather (line 40) | def bikes_weather(  #pylint: disable=unused-argument

FILE: ml/notebook_examples/functions/main.py
  function sequential_pipeline (line 20) | def sequential_pipeline(filename='gs://ml-pipeline-playground/shakespear...
  function get_access_token (line 35) | def get_access_token():
  function hosted_kfp_test (line 42) | def hosted_kfp_test(data, context):

FILE: ml/vertex_pipelines/pytorch/cifar/pytorch-pipeline/cifar10_datamodule.py
  class CIFAR10DataModule (line 44) | class CIFAR10DataModule(pl.LightningDataModule):
    method __init__ (line 45) | def __init__(self, **kwargs):
    method prepare_data (line 75) | def prepare_data(self):
    method getNumFiles (line 81) | def getNumFiles(input_path):
    method setup (line 84) | def setup(self, stage=None):
    method create_data_loader (line 141) | def create_data_loader(self, dataset, batch_size, num_workers):
    method train_dataloader (line 144) | def train_dataloader(self):
    method val_dataloader (line 155) | def val_dataloader(self):
    method test_dataloader (line 166) | def test_dataloader(self):

FILE: ml/vertex_pipelines/pytorch/cifar/pytorch-pipeline/cifar10_train.py
  class CIFAR10Classifier (line 25) | class CIFAR10Classifier(pl.LightningModule):
    method __init__ (line 26) | def __init__(self, **kwargs):
    method forward (line 49) | def forward(self, x):
    method training_step (line 53) | def training_step(self, train_batch, batch_idx):
    method test_step (line 68) | def test_step(self, test_batch, batch_idx):
    method validation_step (line 86) | def validation_step(self, val_batch, batch_idx):
    method configure_optimizers (line 101) | def configure_optimizers(self):
    method makegrid (line 120) | def makegrid(self, output, numrows):
    method showActivations (line 139) | def showActivations(self, x):
    method training_epoch_end (line 151) | def training_epoch_end(self, outputs):

FILE: ml/vertex_pipelines/pytorch/cifar/pytorch-pipeline/pytorch_pipeline/components/base/base_component.py
  class BaseComponent (line 4) | class BaseComponent(with_metaclass(abc.ABCMeta, object)):
    method __init__ (line 5) | def __init__(self):
    method _validate_component_class (line 9) | def _validate_component_class(cls):

FILE: ml/vertex_pipelines/pytorch/cifar/pytorch-pipeline/pytorch_pipeline/components/base/base_executor.py
  class BaseExecutor (line 5) | class BaseExecutor(with_metaclass(abc.ABCMeta, object)):
    method __init__ (line 7) | def __init__(self):
    method Do (line 11) | def Do(self, model_class, data_module_class=None, data_module_args=Non...

FILE: ml/vertex_pipelines/pytorch/cifar/pytorch-pipeline/pytorch_pipeline/components/trainer/component.py
  class Trainer (line 22) | class Trainer(BaseComponent):
    method __init__ (line 23) | def __init__(self,

FILE: ml/vertex_pipelines/pytorch/cifar/pytorch-pipeline/pytorch_pipeline/components/trainer/executor.py
  class Executor (line 21) | class Executor(GenericExecutor):
    method __init__ (line 22) | def __init__(self):
    method Do (line 25) | def Do(

FILE: ml/vertex_pipelines/pytorch/cifar/pytorch-pipeline/pytorch_pipeline/components/trainer/generic_executor.py
  class GenericExecutor (line 17) | class GenericExecutor(BaseExecutor):
    method Do (line 19) | def Do(self, model_class, data_module_class=None, data_module_args=Non...
    method _GetFnArgs (line 23) | def  _GetFnArgs(self):

FILE: ml/vertex_pipelines/pytorch/cifar/pytorch-pipeline/pytorch_pipeline/examples/cifar10/cifar10_datamodule.py
  class CIFAR10DataModule (line 30) | class CIFAR10DataModule(pl.LightningDataModule):
    method __init__ (line 31) | def __init__(self, **kwargs):
    method prepare_data (line 61) | def prepare_data(self):
    method getNumFiles (line 67) | def getNumFiles(input_path):
    method setup (line 70) | def setup(self, stage=None):
    method create_data_loader (line 127) | def create_data_loader(self, dataset, batch_size, num_workers):
    method train_dataloader (line 130) | def train_dataloader(self):
    method val_dataloader (line 141) | def val_dataloader(self):
    method test_dataloader (line 152) | def test_dataloader(self):

FILE: ml/vertex_pipelines/pytorch/cifar/pytorch-pipeline/pytorch_pipeline/examples/cifar10/cifar10_train.py
  class CIFAR10Classifier (line 11) | class CIFAR10Classifier(pl.LightningModule):
    method __init__ (line 12) | def __init__(self, **kwargs):
    method forward (line 35) | def forward(self, x):
    method training_step (line 39) | def training_step(self, train_batch, batch_idx):
    method test_step (line 54) | def test_step(self, test_batch, batch_idx):
    method validation_step (line 72) | def validation_step(self, val_batch, batch_idx):
    method configure_optimizers (line 87) | def configure_optimizers(self):
    method makegrid (line 106) | def makegrid(self, output, numrows):
    method showActivations (line 125) | def showActivations(self, x):
    method training_epoch_end (line 137) | def training_epoch_end(self, outputs):

FILE: ml/vertex_pipelines/pytorch/cifar/pytorch-pipeline/pytorch_pipeline/examples/cifar10/utils.py
  class Visualization (line 10) | class Visualization:
    method __init__ (line 11) | def __init__(self):
    method _generate_confusion_matrix_metadata (line 14) | def _generate_confusion_matrix_metadata(self, confusion_matrix_path, v...
    method _write_ui_metadata (line 32) | def _write_ui_metadata(self, metadata_filepath, metadata_dict, key="ou...
    method _enable_tensorboard_visualization (line 45) | def _enable_tensorboard_visualization(self, tensorboard_root):
    method _visualize_accuracy_metric (line 60) | def _visualize_accuracy_metric(self, accuracy):
    method _generate_confusion_matrix (line 70) | def _generate_confusion_matrix(self, confusion_matrix_dict):
    method generate_visualization (line 100) | def generate_visualization(