LostTech.TensorFlow : API Documentation

Type linear_regression

Namespace tensorflow.contrib.eager.python.examples.linear_regression.linear_regression

Public static methods

void fit(LinearModel model, Dataset dataset, GradientDescentOptimizer optimizer, bool verbose, Byte[] logdir)

void fit(LinearModel model, Dataset dataset, GradientDescentOptimizer optimizer, bool verbose, string logdir)

object fit_dyn(object model, object dataset, object optimizer, ImplicitContainer<T> verbose, object logdir)

object mean_square_loss(LinearModel model, object xs, object ys)

object mean_square_loss_dyn(object model, object xs, object ys)

object synthetic_dataset(IEnumerable<object> w, IEnumerable<double> b, double noise_level, int batch_size, int num_batches)

object synthetic_dataset(IEnumerable<object> w, IGraphNodeBase b, double noise_level, int batch_size, int num_batches)

object synthetic_dataset(IGraphNodeBase w, IEnumerable<double> b, double noise_level, int batch_size, int num_batches)

object synthetic_dataset(IGraphNodeBase w, IGraphNodeBase b, double noise_level, int batch_size, int num_batches)

object synthetic_dataset_dyn(object w, object b, object noise_level, object batch_size, object num_batches)

object synthetic_dataset_helper(IEnumerable<object> w, IEnumerable<double> b, int num_features, double noise_level, int batch_size, int num_batches)

object synthetic_dataset_helper(IEnumerable<object> w, IGraphNodeBase b, int num_features, double noise_level, int batch_size, int num_batches)

object synthetic_dataset_helper(IGraphNodeBase w, IEnumerable<double> b, int num_features, double noise_level, int batch_size, int num_batches)

object synthetic_dataset_helper(IGraphNodeBase w, IGraphNodeBase b, int num_features, double noise_level, int batch_size, int num_batches)

object synthetic_dataset_helper_dyn(object w, object b, object num_features, object noise_level, object batch_size, object num_batches)

Public properties

PythonClassContainer FLAGS get; set;

object FLAGS_dyn get; set;

PythonFunctionContainer LinearModel_fn get;

PythonFunctionContainer mean_square_loss_fn get;

PythonClassContainer parser get; set;

object parser_dyn get; set;

PythonFunctionContainer synthetic_dataset_fn get;

PythonFunctionContainer synthetic_dataset_helper_fn get;

IList<string> unparsed get; set;

object unparsed_dyn get; set;