| h2o |
H2O R Interface |
| h2o.abs |
Compute the absolute value of x |
| h2o.accuracy |
H2O Model Metric Accessor Functions |
| h2o.acos |
Compute the arc cosine of x |
| h2o.aggregated_frame |
Retrieve an aggregated frame from an Aggregator model |
| h2o.aggregator |
Build an Aggregated Frame |
| h2o.aic |
Retrieve the Akaike information criterion (AIC) value |
| h2o.all |
Given a set of logical vectors, are all of the values true? |
| h2o.anomaly |
Anomaly Detection via H2O Deep Learning Model |
| h2o.any |
Given a set of logical vectors, is at least one of the values true? |
| h2o.anyFactor |
Check H2OFrame columns for factors |
| h2o.arrange |
Sorts an H2O frame by columns |
| h2o.ascharacter |
Convert H2O Data to Characters |
| h2o.asfactor |
Convert H2O Data to Factors |
| h2o.asnumeric |
Convert H2O Data to Numerics |
| h2o.assign |
Rename an H2O object. |
| h2o.as_date |
Convert between character representations and objects of Date class |
| h2o.auc |
Retrieve the AUC |
| h2o.automl |
Automatic Machine Learning |
| h2o.betweenss |
Get the between cluster sum of squares |
| h2o.biases |
Return the respective bias vector |
| h2o.bottomN |
H2O bottomN |
| h2o.cbind |
Combine H2O Datasets by Columns |
| h2o.ceiling |
Take a single numeric argument and return a numeric vector with the smallest integers |
| h2o.centers |
Retrieve the Model Centers |
| h2o.centersSTD |
Retrieve the Model Centers STD |
| h2o.centroid_stats |
Retrieve centroid statistics |
| h2o.clearLog |
Delete All H2O R Logs |
| h2o.clusterInfo |
Print H2O cluster info |
| h2o.clusterIsUp |
Determine if an H2O cluster is up or not |
| h2o.clusterStatus |
Return the status of the cluster |
| h2o.cluster_sizes |
Retrieve the cluster sizes |
| h2o.coef |
Return the coefficients that can be applied to the non-standardized data. |
| h2o.coef_norm |
Return coefficients fitted on the standardized data (requires standardize = True, which is on by default). These coefficients can be used to evaluate variable importance. |
| h2o.colnames |
Return column names of an H2OFrame |
| h2o.columns_by_type |
Obtain a list of columns that are specified by 'coltype' |
| h2o.computeGram |
Compute weighted gram matrix. |
| h2o.confusionMatrix |
Access H2O Confusion Matrices |
| h2o.confusionMatrix-method |
Access H2O Confusion Matrices |
| h2o.connect |
Connect to a running H2O instance. |
| h2o.cor |
Correlation of columns. |
| h2o.cos |
Compute the cosine of x |
| h2o.cosh |
Compute the hyperbolic cosine of x |
| h2o.coxph |
Trains a Cox Proportional Hazards Model (CoxPH) on an H2O dataset |
| h2o.createFrame |
Data H2OFrame Creation in H2O |
| h2o.cross_validation_fold_assignment |
Retrieve the cross-validation fold assignment |
| h2o.cross_validation_holdout_predictions |
Retrieve the cross-validation holdout predictions |
| h2o.cross_validation_models |
Retrieve the cross-validation models |
| h2o.cross_validation_predictions |
Retrieve the cross-validation predictions |
| h2o.cummax |
Return the cumulative max over a column or across a row |
| h2o.cummin |
Return the cumulative min over a column or across a row |
| h2o.cumprod |
Return the cumulative product over a column or across a row |
| h2o.cumsum |
Return the cumulative sum over a column or across a row |
| h2o.cut |
Cut H2O Numeric Data to Factor |
| h2o.day |
Convert Milliseconds to Day of Month in H2O Datasets |
| h2o.dayOfWeek |
Convert Milliseconds to Day of Week in H2O Datasets |
| h2o.dct |
Compute DCT of an H2OFrame |
| h2o.ddply |
Split H2O Dataset, Apply Function, and Return Results |
| h2o.decryptionSetup |
Setup a Decryption Tool |
| h2o.deepfeatures |
Feature Generation via H2O Deep Learning or DeepWater Model |
| h2o.deeplearning |
Build a Deep Neural Network model using CPUs |
| h2o.deepwater |
Build a Deep Learning model using multiple native GPU backends |
| h2o.deepwater.available |
Determines whether Deep Water is available |
| h2o.describe |
H2O Description of A Dataset |
| h2o.difflag1 |
Conduct a lag 1 transform on a numeric H2OFrame column |
| h2o.dim |
Returns the number of rows and columns for an H2OFrame object. |
| h2o.dimnames |
Column names of an H2OFrame |
| h2o.distance |
Compute a pairwise distance measure between all rows of two numeric H2OFrames. |
| h2o.downloadAllLogs |
Download H2O Log Files to Disk |
| h2o.downloadCSV |
Download H2O Data to Disk |
| h2o.download_mojo |
Download the model in MOJO format. |
| h2o.download_pojo |
Download the Scoring POJO (Plain Old Java Object) of an H2O Model |
| h2o.entropy |
Shannon entropy |
| h2o.error |
H2O Model Metric Accessor Functions |
| h2o.exp |
Compute the exponential function of x |
| h2o.exportFile |
Export an H2O Data Frame (H2OFrame) to a File or to a collection of Files. |
| h2o.exportHDFS |
Export a Model to HDFS |
| h2o.F0point5 |
H2O Model Metric Accessor Functions |
| h2o.F1 |
H2O Model Metric Accessor Functions |
| h2o.F2 |
H2O Model Metric Accessor Functions |
| h2o.fallout |
H2O Model Metric Accessor Functions |
| h2o.fillna |
fillNA |
| h2o.filterNACols |
Filter NA Columns |
| h2o.findSynonyms |
Find synonyms using a word2vec model. |
| h2o.find_row_by_threshold |
Find the threshold, give the max metric. No duplicate thresholds allowed |
| h2o.find_threshold_by_max_metric |
Find the threshold, give the max metric |
| h2o.floor |
Take a single numeric argument and return a numeric vector with the largest integers |
| h2o.flow |
Open H2O Flow |
| h2o.fnr |
H2O Model Metric Accessor Functions |
| h2o.fpr |
H2O Model Metric Accessor Functions |
| h2o.gainsLift |
Access H2O Gains/Lift Tables |
| h2o.gainsLift-method |
Access H2O Gains/Lift Tables |
| h2o.gbm |
Build gradient boosted classification or regression trees |
| h2o.getAutoML |
Get an R object that is a subclass of H2OAutoML |
| h2o.getConnection |
Retrieve an H2O Connection |
| h2o.getFrame |
Get an R Reference to an H2O Dataset, that will NOT be GC'd by default |
| h2o.getFutureModel |
Get future model |
| h2o.getGLMFullRegularizationPath |
Extract full regularization path from a GLM model |
| h2o.getGrid |
Get a grid object from H2O distributed K/V store. |
| h2o.getId |
Get back-end distributed key/value store id from an H2OFrame. |
| h2o.getModel |
Get an R reference to an H2O model |
| h2o.getModelTree |
Fetchces a single tree of a H2O model. This function is intended to be used on Gradient Boosting Machine models or Distributed Random Forest models. |
| h2o.getTimezone |
Get the Time Zone on the H2O Cloud Returns a string |
| h2o.getTypes |
Get the types-per-column |
| h2o.getVersion |
Get h2o version |
| h2o.giniCoef |
Retrieve the GINI Coefficcient |
| h2o.glm |
Fit a generalized linear model |
| h2o.glrm |
Generalized low rank decomposition of an H2O data frame |
| h2o.grep |
Search for matches to an argument pattern |
| h2o.grid |
H2O Grid Support |
| h2o.group_by |
Group and Apply by Column |
| h2o.gsub |
String Global Substitute |
| h2o.head |
Return the Head or Tail of an H2O Dataset. |
| h2o.hist |
Compute A Histogram |
| h2o.hit_ratio_table |
Retrieve the Hit Ratios |
| h2o.hour |
Convert Milliseconds to Hour of Day in H2O Datasets |
| h2o.ifelse |
H2O Apply Conditional Statement |
| h2o.importFile |
Import Files into H2O |
| h2o.importFolder |
Import Files into H2O |
| h2o.importHDFS |
Import Files into H2O |
| h2o.import_sql_select |
Import SQL table that is result of SELECT SQL query into H2O |
| h2o.import_sql_table |
Import SQL Table into H2O |
| h2o.impute |
Basic Imputation of H2O Vectors |
| h2o.init |
Initialize and Connect to H2O |
| h2o.insertMissingValues |
Insert Missing Values into an H2OFrame |
| h2o.interaction |
Categorical Interaction Feature Creation in H2O |
| h2o.isax |
iSAX |
| h2o.ischaracter |
Check if character |
| h2o.isfactor |
Check if factor |
| h2o.isnumeric |
Check if numeric |
| h2o.isolationForest |
Trains an Isolation Forest model |
| h2o.is_client |
Check Client Mode Connection |
| h2o.kfold_column |
Produce a k-fold column vector. |
| h2o.killMinus3 |
Dump the stack into the JVM's stdout. |
| h2o.kmeans |
Performs k-means clustering on an H2O dataset |
| h2o.kurtosis |
Kurtosis of a column |
| h2o.length |
S3 Group Generic Functions for H2O |
| h2o.levels |
Return the levels from the column requested column. |
| h2o.listTimezones |
List all of the Time Zones Acceptable by the H2O Cloud. |
| h2o.list_all_extensions |
List all H2O registered extensions |
| h2o.list_api_extensions |
List registered API extensions |
| h2o.list_core_extensions |
List registered core extensions |
| h2o.loadModel |
Load H2O Model from HDFS or Local Disk |
| h2o.log |
Compute the logarithm of x |
| h2o.log10 |
Compute the log10 of x |
| h2o.log1p |
Compute the log1p of x |
| h2o.log2 |
Compute the log2 of x |
| h2o.logAndEcho |
Log a message on the server-side logs |
| h2o.logloss |
Retrieve the Log Loss Value |
| h2o.ls |
List Keys on an H2O Cluster |
| h2o.lstrip |
Strip set from left |
| h2o.mae |
Retrieve the Mean Absolute Error Value |
| h2o.makeGLMModel |
Set betas of an existing H2O GLM Model |
| h2o.make_metrics |
Create Model Metrics from predicted and actual values in H2O |
| h2o.match |
Value Matching in H2O |
| h2o.max |
Returns the maxima of the input values. |
| h2o.maxPerClassError |
H2O Model Metric Accessor Functions |
| h2o.mcc |
H2O Model Metric Accessor Functions |
| h2o.mean |
Compute the frame's mean by-column (or by-row). |
| h2o.mean_per_class_accuracy |
H2O Model Metric Accessor Functions |
| h2o.mean_per_class_error |
Retrieve the mean per class error |
| h2o.mean_residual_deviance |
Retrieve the Mean Residual Deviance value |
| h2o.median |
H2O Median |
| h2o.merge |
Merge Two H2O Data Frames |
| h2o.metric |
H2O Model Metric Accessor Functions |
| h2o.min |
Returns the minima of the input values. |
| h2o.missrate |
H2O Model Metric Accessor Functions |
| h2o.mktime |
Compute msec since the Unix Epoch |
| h2o.mojo_predict_csv |
H2O Prediction from R without having H2O running |
| h2o.mojo_predict_df |
H2O Prediction from R without having H2O running |
| h2o.month |
Convert Milliseconds to Months in H2O Datasets |
| h2o.mse |
Retrieves Mean Squared Error Value |
| h2o.nacnt |
Count of NAs per column |
| h2o.naiveBayes |
Compute naive Bayes probabilities on an H2O dataset. |
| h2o.names |
Column names of an H2OFrame |
| h2o.na_omit |
Remove Rows With NAs |
| h2o.nchar |
String length |
| h2o.ncol |
Return the number of columns present in x. |
| h2o.networkTest |
View Network Traffic Speed |
| h2o.nlevels |
Get the number of factor levels for this frame. |
| h2o.no_progress |
Disable Progress Bar |
| h2o.nrow |
Return the number of rows present in x. |
| h2o.null_deviance |
Retrieve the null deviance |
| h2o.null_dof |
Retrieve the null degrees of freedom |
| h2o.num_iterations |
Retrieve the number of iterations. |
| h2o.num_valid_substrings |
Count of substrings >= 2 chars that are contained in file |
| h2o.openLog |
View H2O R Logs |
| h2o.parseRaw |
H2O Data Parsing |
| h2o.parseSetup |
Get a parse setup back for the staged data. |
| h2o.partialPlot |
Partial Dependence Plots |
| h2o.performance |
Model Performance Metrics in H2O |
| h2o.pivot |
Pivot a frame |
| h2o.prcomp |
Principal component analysis of an H2O data frame |
| h2o.precision |
H2O Model Metric Accessor Functions |
| h2o.predict |
Predict on an H2O Model |
| h2o.predict_json |
H2O Prediction from R without having H2O running |
| h2o.predict_leaf_node_assignment |
Predict the Leaf Node Assignment on an H2O Model |
| h2o.print |
Print An H2OFrame |
| h2o.prod |
Return the product of all the values present in its arguments. |
| h2o.proj_archetypes |
Convert Archetypes to Features from H2O GLRM Model |
| h2o.pr_auc |
Retrieve the pr_auc |
| h2o.quantile |
Quantiles of H2O Frames. |
| h2o.r2 |
Retrieve the R2 value |
| h2o.randomForest |
Build a Random Forest model |
| h2o.range |
Returns a vector containing the minimum and maximum of all the given arguments. |
| h2o.rank_within_group_by |
This function will add a new column rank where the ranking is produced as follows: 1. sorts the H2OFrame by columns sorted in by columns specified in group_by_cols and sort_cols in the directions specified by the ascending for the sort_cols. The sort directions for the group_by_cols are ascending only. 2. A new rank column is added to the frame which will contain a rank assignment performed next. The user can choose to assign a name to this new column. The default name is New_Rank_column. 3. For each groupby groups, a rank is assigned to the row starting from 1, 2, ... to the end of that group. 4. If sort_cols_sorted is TRUE, a final sort on the frame will be performed frame according to the sort_cols and the sort directions in ascending. If sort_cols_sorted is FALSE (by default), the frame from step 3 will be returned as is with no extra sort. This may provide a small speedup if desired. |
| h2o.rbind |
Combine H2O Datasets by Rows |
| h2o.recall |
H2O Model Metric Accessor Functions |
| h2o.reconstruct |
Reconstruct Training Data via H2O GLRM Model |
| h2o.relevel |
Reorders levels of an H2O factor, similarly to standard R's relevel. |
| h2o.removeAll |
Remove All Objects on the H2O Cluster |
| h2o.removeVecs |
Delete Columns from an H2OFrame |
| h2o.rep_len |
Replicate Elements of Vectors or Lists into H2O |
| h2o.residual_deviance |
Retrieve the residual deviance |
| h2o.residual_dof |
Retrieve the residual degrees of freedom |
| h2o.rm |
Delete Objects In H2O |
| h2o.rmse |
Retrieves Root Mean Squared Error Value |
| h2o.rmsle |
Retrieve the Root Mean Squared Log Error |
| h2o.round |
Round doubles/floats to the given number of decimal places. |
| h2o.rstrip |
Strip set from right |
| h2o.runif |
Produce a Vector of Random Uniform Numbers |
| h2o.saveModel |
Save an H2O Model Object to Disk |
| h2o.saveModelDetails |
Save an H2O Model Details |
| h2o.saveMojo |
Save an H2O Model Object as Mojo to Disk |
| h2o.scale |
Scaling and Centering of an H2OFrame |
| h2o.scoreHistory |
Retrieve Model Score History |
| h2o.sd |
Standard Deviation of a column of data. |
| h2o.sdev |
Retrieve the standard deviations of principal components |
| h2o.sensitivity |
H2O Model Metric Accessor Functions |
| h2o.setLevels |
Set Levels of H2O Factor Column |
| h2o.setTimezone |
Set the Time Zone on the H2O Cloud |
| h2o.show_progress |
Enable Progress Bar |
| h2o.shutdown |
Shut Down H2O Instance |
| h2o.signif |
Round doubles/floats to the given number of significant digits. |
| h2o.sin |
Compute the sine of x |
| h2o.skewness |
Skewness of a column |
| h2o.specificity |
H2O Model Metric Accessor Functions |
| h2o.splitFrame |
Split an H2O Data Set |
| h2o.sqrt |
Compute the square root of x |
| h2o.stackedEnsemble |
Builds a Stacked Ensemble |
| h2o.staged_predict_proba |
Predict class probabilities at each stage of an H2O Model |
| h2o.startLogging |
Start Writing H2O R Logs |
| h2o.std_coef_plot |
Plot Standardized Coefficient Magnitudes |
| h2o.stopLogging |
Stop Writing H2O R Logs |
| h2o.str |
Display the structure of an H2OFrame object |
| h2o.stringdist |
Compute element-wise string distances between two H2OFrames |
| h2o.strsplit |
String Split |
| h2o.sub |
String Substitute |
| h2o.substr |
Substring |
| h2o.substring |
Substring |
| h2o.sum |
Compute the frame's sum by-column (or by-row). |
| h2o.summary |
Summarizes the columns of an H2OFrame. |
| h2o.svd |
Singular value decomposition of an H2O data frame using the power method |
| h2o.table |
Cross Tabulation and Table Creation in H2O |
| h2o.tabulate |
Tabulation between Two Columns of an H2OFrame |
| h2o.tail |
Return the Head or Tail of an H2O Dataset. |
| h2o.tan |
Compute the tangent of x |
| h2o.tanh |
Compute the hyperbolic tangent of x |
| h2o.target_encode_apply |
Apply Target Encoding Map to Frame |
| h2o.target_encode_create |
Create Target Encoding Map |
| h2o.tnr |
H2O Model Metric Accessor Functions |
| h2o.toFrame |
Convert a word2vec model into an H2OFrame |
| h2o.tokenize |
Tokenize String |
| h2o.tolower |
Convert strings to lowercase |
| h2o.topN |
H2O topN |
| h2o.totss |
Get the total sum of squares. |
| h2o.tot_withinss |
Get the total within cluster sum of squares. |
| h2o.toupper |
Convert strings to uppercase |
| h2o.tpr |
H2O Model Metric Accessor Functions |
| h2o.transform |
Transform words (or sequences of words) to vectors using a word2vec model. |
| h2o.trim |
Trim Space |
| h2o.trunc |
Truncate values in x toward 0 |
| h2o.unique |
H2O Unique |
| h2o.uploadFile |
Import Files into H2O |
| h2o.var |
Variance of a column or covariance of columns. |
| h2o.varimp |
Retrieve the variable importance. |
| h2o.varimp_plot |
Plot Variable Importances |
| h2o.week |
Convert Milliseconds to Week of Week Year in H2O Datasets |
| h2o.weights |
Retrieve the respective weight matrix |
| h2o.which |
Which indices are TRUE? |
| h2o.which_max |
Which indice contains the max value? |
| h2o.which_min |
Which index contains the min value? |
| h2o.withinss |
Get the Within SS |
| h2o.word2vec |
Trains a word2vec model on a String column of an H2O data frame |
| h2o.xgboost |
Build an eXtreme Gradient Boosting model |
| h2o.xgboost.available |
Determines whether an XGBoost model can be built |
| h2o.year |
Convert Milliseconds to Years in H2O Datasets |
| H2OAnomalyDetectionMetrics-class |
The H2OModelMetrics Object. |
| H2OAnomalyDetectionModel-class |
The H2OModel object. |
| H2OAutoEncoderMetrics-class |
The H2OModelMetrics Object. |
| H2OAutoEncoderModel-class |
The H2OModel object. |
| H2OAutoML-class |
The H2OAutoML class |
| H2OBinomialMetrics-class |
The H2OModelMetrics Object. |
| H2OBinomialModel-class |
The H2OModel object. |
| H2OClusteringMetrics-class |
The H2OModelMetrics Object. |
| H2OClusteringModel-class |
The H2OClusteringModel object. |
| H2OConnection |
The H2OConnection class. |
| H2OConnection-class |
The H2OConnection class. |
| H2OConnectionMutableState |
The H2OConnectionMutableState class |
| H2OCoxPHMetrics-class |
The H2OModelMetrics Object. |
| H2OCoxPHModel |
The H2OCoxPHModel object. |
| H2OCoxPHModel-class |
The H2OCoxPHModel object. |
| H2OCoxPHModelSummary |
The H2OCoxPHModelSummary object. |
| H2OCoxPHModelSummary-class |
The H2OCoxPHModelSummary object. |
| H2ODimReductionMetrics-class |
The H2OModelMetrics Object. |
| H2ODimReductionModel-class |
The H2OModel object. |
| H2OFrame-class |
The H2OFrame class |
| H2OFrame-Extract |
Extract or Replace Parts of an H2OFrame Object |
| H2OGrid |
H2O Grid |
| H2OGrid-class |
H2O Grid |
| H2OLeafNode-class |
The H2OLeafNode class. |
| H2OModel |
The H2OModel object. |
| H2OModel-class |
The H2OModel object. |
| H2OModelFuture-class |
H2O Future Model |
| H2OModelMetrics |
The H2OModelMetrics Object. |
| H2OModelMetrics-class |
The H2OModelMetrics Object. |
| H2OMultinomialMetrics-class |
The H2OModelMetrics Object. |
| H2OMultinomialModel-class |
The H2OModel object. |
| H2ONode-class |
The H2ONode class. |
| H2OOrdinalMetrics-class |
The H2OModelMetrics Object. |
| H2OOrdinalModel-class |
The H2OModel object. |
| H2ORegressionMetrics-class |
The H2OModelMetrics Object. |
| H2ORegressionModel-class |
The H2OModel object. |
| H2OSplitNode |
The H2OSplitNode class. |
| H2OSplitNode-class |
The H2OSplitNode class. |
| H2OTree |
The H2OTree class. |
| H2OTree-class |
The H2OTree class. |
| H2OUnknownMetrics-class |
The H2OModelMetrics Object. |
| H2OUnknownModel-class |
The H2OModel object. |
| H2OWordEmbeddingMetrics-class |
The H2OModelMetrics Object. |
| H2OWordEmbeddingModel-class |
The H2OModel object. |
| head.H2OFrame |
Return the Head or Tail of an H2O Dataset. |
| hour |
Convert Milliseconds to Hour of Day in H2O Datasets |
| hour.H2OFrame |
Convert Milliseconds to Hour of Day in H2O Datasets |
| housevotes |
United States Congressional Voting Records 1984 |
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