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tfestimators  

Interface to 'TensorFlow' Estimators
View on CRAN: Click here


Download and install tfestimators package within the R console
Install from CRAN:
install.packages("tfestimators")

Install from Github:
library("remotes")
install_github("cran/tfestimators")

Install by package version:
library("remotes")
install_version("tfestimators", "1.9.2")



Attach the package and use:
library("tfestimators")
Maintained by
Tomasz Kalinowski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-12-20
Latest Update: 2021-08-09
Description:
Interface to 'TensorFlow' Estimators <https://www.tensorflow.org/guide/estimator>, a high-level API that provides implementations of many different model types including linear models and deep neural networks.
How to cite:
Tomasz Kalinowski (2017). tfestimators: Interface to 'TensorFlow' Estimators. R package version 1.9.2, https://cran.r-project.org/web/packages/tfestimators
Previous versions and publish date:
1.4.2 (2017-12-20 14:19), 1.5 (2018-01-18 20:12), 1.9.0 (2018-08-28 00:30), 1.9.1 (2018-11-07 11:30)
Other packages that cited tfestimators R package
View tfestimators citation profile
Other R packages that tfestimators depends, imports, suggests or enhances
Functions, R codes and Examples using the tfestimators R package
Some associated functions: boosted_trees_estimators . classifier_parse_example_spec . column-scope . column_base . column_bucketized . column_categorical_weighted . column_categorical_with_hash_bucket . column_categorical_with_identity . column_categorical_with_vocabulary_file . column_categorical_with_vocabulary_list . column_crossed . column_embedding . column_indicator . column_numeric . dnn_estimators . dnn_linear_combined_estimators . estimator . estimator_spec . estimators . eval_spec . evaluate.tf_estimator . experiment . export_savedmodel.tf_estimator . feature_columns . graph_keys . hook_checkpoint_saver . hook_global_step_waiter . hook_history_saver . hook_logging_tensor . hook_nan_tensor . hook_progress_bar . hook_step_counter . hook_stop_at_step . hook_summary_saver . input_fn . input_layer . keras_model_to_estimator . latest_checkpoint . linear_estimators . metric_keys . mode_keys . model_dir . numpy_input_fn . plot.tf_estimator_history . predict.tf_estimator . prediction_keys . reexports . regressor_parse_example_spec . run_config . session_run_args . session_run_hook . task_type . tfestimators . train-evaluate-predict . train.tf_estimator . train_and_evaluate.tf_estimator . train_spec . variable_names_values . 
Some associated R codes: boosted_trees_estimators.R . dnn_estimators.R . dnn_linear_combined_estimators.R . estimator_keys.R . feature_columns.R . formulas.R . generic_methods.R . history.R . imports.R . input_fn.R . keras_estimator.R . linear_estimators.R . package.R . pad.R . parsing_utils.R . preconditions.R . print_methods.R . reexport-tidyselect.R . reexports.R . run_config.R . run_context.R . session_run_hooks_builtin_wrappers.R . session_run_hooks_custom.R . simplify_fn.R . tf_custom_estimator.R . tf_estimator.R . tidyselect.R . train_and_evaluate.R . utils_miscs.R . utils_tf.R .  Full tfestimators package functions and examples
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