LostTech.TensorFlow : API Documentation

Type sequence

Namespace keras_preprocessing.sequence

Public static methods

object make_sampling_table(int size, double sampling_factor)

object make_sampling_table_dyn(object size, ImplicitContainer<T> sampling_factor)

ndarray pad_sequences(ndarray sequences, Nullable<int> maxlen, string dtype, string padding, string truncating, double value)

ndarray pad_sequences(ndarray sequences, Nullable<int> maxlen, string dtype, string padding, string truncating, int value)

ndarray pad_sequences(ndarray sequences, Nullable<int> maxlen, string dtype, string padding, string truncating, object value)

ndarray pad_sequences(IEnumerable<object> sequences, Nullable<int> maxlen, string dtype, string padding, string truncating, double value)

ndarray pad_sequences(IEnumerable<object> sequences, Nullable<int> maxlen, string dtype, string padding, string truncating, int value)

ndarray pad_sequences(IEnumerable<object> sequences, Nullable<int> maxlen, string dtype, string padding, string truncating, object value)

object pad_sequences_dyn(object sequences, object maxlen, ImplicitContainer<T> dtype, ImplicitContainer<T> padding, ImplicitContainer<T> truncating, ImplicitContainer<T> value)

ValueTuple<IList<object>, object> skipgrams(object sequence, int vocabulary_size, int window_size, double negative_samples, bool shuffle, bool categorical, object sampling_table, object seed)

object skipgrams_dyn(object sequence, object vocabulary_size, ImplicitContainer<T> window_size, ImplicitContainer<T> negative_samples, ImplicitContainer<T> shuffle, ImplicitContainer<T> categorical, object sampling_table, object seed)

TimeseriesGenerator timeseries_generator_from_json(object json_string)

object timeseries_generator_from_json_dyn(object json_string)

Public properties

PythonFunctionContainer make_sampling_table_fn get;

PythonFunctionContainer pad_sequences_fn get;

PythonFunctionContainer skipgrams_fn get;

PythonFunctionContainer timeseries_generator_from_json_fn get;

PythonFunctionContainer TimeseriesGenerator_fn get;