Package: tfestimators 1.9.2

Tomasz Kalinowski

tfestimators: Interface to 'TensorFlow' Estimators

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.

Authors:JJ Allaire [aut], Yuan Tang [aut], Kevin Ushey [aut], Kevin Kuo [aut], Tomasz Kalinowski [cre], Daniel Falbel [ctb, cph], RStudio [cph, fnd], Google Inc. [cph]

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tfestimators.pdf |tfestimators.html✨
tfestimators/json (API)
NEWS

# Install 'tfestimators' in R:
install.packages('tfestimators', repos = c('https://rstudio.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rstudio/tfestimators/issues

On CRAN:

8.41 score 57 stars 166 scripts 852 downloads 82 exports 47 dependencies

Last updated 3 years agofrom:93bd3cf2ba. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 11 2024
R-4.5-winNOTEDec 11 2024
R-4.5-linuxNOTEDec 11 2024
R-4.4-winOKDec 11 2024
R-4.4-macOKDec 11 2024
R-4.3-winOKDec 11 2024
R-4.3-macOKDec 11 2024

Exports:%>%array_reshapeboosted_trees_classifierboosted_trees_regressorclassifier_parse_example_speccolumn_bucketizedcolumn_categorical_weightedcolumn_categorical_with_hash_bucketcolumn_categorical_with_identitycolumn_categorical_with_vocabulary_filecolumn_categorical_with_vocabulary_listcolumn_crossedcolumn_embeddingcolumn_indicatorcolumn_numericcontainsdnn_classifierdnn_linear_combined_classifierdnn_linear_combined_regressordnn_regressorends_withestimatorestimator_speceval_specevaluateeverythingexport_savedmodelfeature_columnsflag_booleanflag_integerflag_numericflag_stringflagsglimpsegraph_keyshook_checkpoint_saverhook_global_step_waiterhook_history_saverhook_logging_tensorhook_nan_tensorhook_progress_barhook_step_counterhook_stop_at_stephook_summary_saverinput_fninput_layerinstall_tensorflowkeras_model_to_estimatorlast_collatest_checkpointlinear_classifierlinear_regressormatchesmetric_keysmode_keysmodel_dirnum_rangenumpy_input_fnone_ofprediction_keysregressor_parse_example_specrun_configrun_dirscoped_columnssession_run_argssession_run_hookset_columnsshapestarts_withtask_typetensorboardtftf_configtraintrain_and_evaluatetrain_specuse_condaenvuse_pythonuse_virtualenvvariable_namesvariable_valuewith_columns

Dependencies:backportsbase64enccliconfigcpp11crayondplyrfansiforgegenericsglueherehmsjsonlitelatticelifecyclemagrittrMatrixpillarpkgconfigpngprettyunitsprocessxprogresspspurrrR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapistringistringrtensorflowtfautographtfrunstibbletidyrtidyselectutf8vctrswhiskerwithryaml

Custom Estimators

Rendered fromcreating_estimators.Rmdusingknitr::rmarkdownon Dec 11 2024.

Last update: 2021-11-22
Started: 2017-06-25

Dataset API

Rendered fromdataset_api.Rmdusingknitr::rmarkdownon Dec 11 2024.

Last update: 2021-08-06
Started: 2018-01-09

Estimator Basics

Rendered fromestimator_basics.Rmdusingknitr::rmarkdownon Dec 11 2024.

Last update: 2021-08-06
Started: 2017-07-04

Feature Columns

Rendered fromfeature_columns.Rmdusingknitr::rmarkdownon Dec 11 2024.

Last update: 2021-08-06
Started: 2017-05-23

Input Functions

Rendered frominput_functions.Rmdusingknitr::rmarkdownon Dec 11 2024.

Last update: 2017-12-05
Started: 2017-05-23

Parsing Utilities

Rendered fromparsing_spec.Rmdusingknitr::rmarkdownon Dec 11 2024.

Last update: 2017-07-23
Started: 2017-07-23

Run Hooks

Rendered fromrun_hooks.Rmdusingknitr::rmarkdownon Dec 11 2024.

Last update: 2017-11-10
Started: 2017-05-23

TensorBoard Visualization

Rendered fromtensorboard.Rmdusingknitr::rmarkdownon Dec 11 2024.

Last update: 2017-08-31
Started: 2017-06-12

TensorFlow Layers

Rendered fromtensorflow_layers.Rmdusingknitr::rmarkdownon Dec 11 2024.

Last update: 2021-11-22
Started: 2017-07-11

Readme and manuals

Help Manual

Help pageTopics
Boosted Trees Estimatorboosted_trees_classifier boosted_trees_estimators boosted_trees_regressor
Generates Parsing Spec for TensorFlow Example to be Used with Classifiersclassifier_parse_example_spec
Base Documentation for Feature Column Constructorscolumn_base
Construct a Bucketized Columncolumn_bucketized
Construct a Weighted Categorical Columncolumn_categorical_weighted
Represents Sparse Feature where IDs are set by Hashingcolumn_categorical_with_hash_bucket
Construct a Categorical Column that Returns Identity Valuescolumn_categorical_with_identity
Construct a Categorical Column with a Vocabulary Filecolumn_categorical_with_vocabulary_file
Construct a Categorical Column with In-Memory Vocabularycolumn_categorical_with_vocabulary_list
Construct a Crossed Columncolumn_crossed
Construct a Dense Columncolumn_embedding
Represents Multi-Hot Representation of Given Categorical Columncolumn_indicator
Construct a Real-Valued Columncolumn_numeric
Establish a Feature Columns Selection Scopecolumn-scope scoped_columns set_columns with_columns
Deep Neural Networksdnn_classifier dnn_estimators dnn_regressor
Linear Combined Deep Neural Networksdnn_linear_combined_classifier dnn_linear_combined_estimators dnn_linear_combined_regressor
Construct a Custom Estimatorestimator
Define an Estimator Specificationestimator_spec
Base Documentation for Canned Estimatorsestimators
Configuration for the eval component of 'train_and_evaluate'eval_spec
Evaluate an Estimatorevaluate.tf_estimator
Construct an Experimentexperiment
Save an Estimatorexport_savedmodel.tf_estimator
Feature Columnsfeature_columns
Standard Names to Use for Graph Collectionsgraph_keys
Saves Checkpoints Every N Steps or Secondshook_checkpoint_saver
Delay Execution until Global Step Reaches to 'wait_until_step'.hook_global_step_waiter
A Custom Run Hook for Saving Metrics Historyhook_history_saver
Prints Given Tensors Every N Local Steps, Every N Seconds, or at Endhook_logging_tensor
NaN Loss Monitorhook_nan_tensor
A Custom Run Hook to Create and Update Progress Bar During Training or Evaluationhook_progress_bar
Steps per Second Monitorhook_step_counter
Monitor to Request Stop at a Specified Stephook_stop_at_step
Saves Summaries Every N Stepshook_summary_saver
Construct an Input Functioninput_fn input_fn.data.frame input_fn.default input_fn.formula input_fn.list input_fn.matrix
Construct an Input Layerinput_layer
Keras Estimatorskeras_model_to_estimator
Get the Latest Checkpoint in a Checkpoint Directorylatest_checkpoint
Construct a Linear Estimatorlinear_classifier linear_estimators linear_regressor
Canonical Metric Keysmetric_keys
Canonical Mode Keysmode_keys
Model directorymodel_dir
Construct Input Function Containing Python Dictionaries of Numpy Arraysnumpy_input_fn
Plot training historyplot.tf_estimator_history
Generate Predictions with an Estimatorpredict.tf_estimator
Canonical Model Prediction Keysprediction_keys
Generates Parsing Spec for TensorFlow Example to be Used with Regressorsregressor_parse_example_spec
Run Configurationrun_config
Create Session Run Argumentssession_run_args
Create Custom Session Run Hookssession_run_hook
Task Typestask_type
High-level Estimator API in TensorFlow for Rtfestimators
Train and evaluate the estimator.train_and_evaluate.tf_estimator
Configuration for the train component of 'train_and_evaluate'train_spec
Base Documentation for train, evaluate, and predict.train-evaluate-predict
Train an Estimatortrain.tf_estimator
Get variable names and values associated with an estimatorvariable_names variable_names_values variable_value