h2o |
H2O R Interface |
h2o.accuracy |
H2O Model Metric Accessor Functions |
h2o.aic |
Retrieve the AIC. If "train", "valid", and "xval" parameters are FALSE (default), then the training AIC value is returned. If more than one parameter is set to TRUE, then a named vector of AICs are returned, where the names are "train", "valid" or "xval". |
h2o.anomaly |
Anomaly Detection via H2O Deep Learning Model |
h2o.anyFactor |
Check Frame columns for factors |
h2o.assign |
Rename an H2O object. |
h2o.auc |
Retrieve the AUC |
h2o.betweenss |
Get the between cluster sum of squares. If "train", "valid", and "xval" parameters are FALSE (default), then the training betweenss value is returned. If more than one parameter is set to TRUE, then a named vector of betweenss' are returned, where the names are "train", "valid" or "xval". |
h2o.biases |
Return the respective bias vector |
h2o.cbind |
Combine H2O Datasets by Columns |
h2o.centers |
Retrieve the Model Centers |
h2o.centersSTD |
Retrieve the Model Centers STD |
h2o.centroid_stats |
Retrieve the centroid statistics If "train", "valid", and "xval" parameters are FALSE (default), then the training centroid stats value is returned. If more than one parameter is set to TRUE, then a named list of centroid stats data frames are returned, where the names are "train", "valid" or "xval". |
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 If "train", "valid", and "xval" parameters are FALSE (default), then the training cluster sizes value is returned. If more than one parameter is set to TRUE, then a named list of cluster size vectors are returned, where the names are "train", "valid" or "xval". |
h2o.coef |
Retrieve the model coefficeints |
h2o.coef_norm |
Retrieve the normalized coefficients |
h2o.confusionMatrix |
Access H2O Confusion Matrices |
h2o.confusionMatrix-method |
Access H2O Confusion Matrices |
h2o.createFrame |
Data Frame Creation in H2O |
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 H2O Frame |
h2o.ddply |
Split H2O Dataset, Apply Function, and Return Results |
h2o.deepfeatures |
Feature Generation via H2O Deep Learning Model |
h2o.deeplearning |
Build a Deep Learning Neural Network |
h2o.downloadAllLogs |
Download H2O Log Files to Disk |
h2o.downloadCSV |
Download H2O Data to Disk |
h2o.download_pojo |
Download the Scoring POJO (Plain Old Java Object) of a H2O Model |
h2o.error |
H2O Model Metric Accessor Functions |
h2o.exportFile |
Export an H2O Data Frame to a File |
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.filterNACols |
Filter NA Columns |
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.fnr |
H2O Model Metric Accessor Functions |
h2o.fpr |
H2O Model Metric Accessor Functions |
h2o.gbm |
Gradient Boosted Machines |
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.getGrid |
Get a grid object from H2O distributed K/V store. |
h2o.getId |
Get back-end distributed key/value store id from a Frame. |
h2o.getModel |
Get an R reference to an H2O model |
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 |
H2O Generalized Linear Models |
h2o.glrm |
Generalized Low Rank Model |
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 If "train", "valid", and "xval" parameters are FALSE (default), then the training Hit Ratios value is returned. If more than one parameter is set to TRUE, then a named list of Hit Ratio tables are returned, where the names are "train", "valid" or "xval". |
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.importURL |
Import Files into H2O |
h2o.impute |
Basic Imputation of H2O Vectors |
h2o.init |
Initialize and Connect to H2O |
h2o.insertMissingValues |
Inserting Missing Values to an H2O DataFrame |
h2o.interaction |
Categorical Interaction Feature Creation in H2O |
h2o.is_client |
Check Client Mode Connection |
h2o.killMinus3 |
Dump the stack into the JVM's stdout. |
h2o.kmeans |
KMeans Model in H2O |
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.loadModel |
Load H2O Model from HDFS or Local Disk |
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.makeGLMModel |
Set betas of an existing H2O GLM Model |
h2o.match |
Value Matching in H2O |
h2o.maxPerClassError |
H2O Model Metric Accessor Functions |
h2o.mcc |
H2O Model Metric Accessor Functions |
h2o.mean |
Mean of a column |
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.missrate |
H2O Model Metric Accessor Functions |
h2o.mktime |
Compute msec since the Unix Epoch |
h2o.month |
Convert Milliseconds to Months in H2O Datasets |
h2o.mse |
Retrieves Mean Squared Error Value |
h2o.naiveBayes |
Naive Bayes Model in H2O |
h2o.nchar |
String length |
h2o.networkTest |
View Network Traffic Speed |
h2o.null_deviance |
Retrieve the null deviance If "train", "valid", and "xval" parameters are FALSE (default), then the training null deviance value is returned. If more than one parameter is set to TRUE, then a named vector of null deviances are returned, where the names are "train", "valid" or "xval". |
h2o.null_dof |
Retrieve the null degrees of freedom If "train", "valid", and "xval" parameters are FALSE (default), then the training null degrees of freedom value is returned. If more than one parameter is set to TRUE, then a named vector of null degrees of freedom are returned, where the names are "train", "valid" or "xval". |
h2o.num_iterations |
Retrieve the number of iterations. |
h2o.openLog |
View H2O R Logs |
h2o.parseRaw |
H2O Data Parsing |
h2o.parseSetup |
Get a parse setup back for the staged data. |
h2o.performance |
Model Performance Metrics in H2O |
h2o.prcomp |
Principal Components Analysis |
h2o.precision |
H2O Model Metric Accessor Functions |
h2o.predict |
Predict on an H2O Model |
h2o.quantile |
Quantiles of H2O Frames. |
h2o.r2 |
Retrieve the R2 value |
h2o.randomForest |
Build a Big Data Random Forest Model |
h2o.rbind |
Combine H2O Datasets by Rows |
h2o.recall |
H2O Model Metric Accessor Functions |
h2o.removeAll |
Remove All Objects on the H2O Cluster |
h2o.removeVecs |
Delete Columns from a Frame |
h2o.rep_len |
Replicate Elements of Vectors or Lists into H2O |
h2o.residual_deviance |
Retrieve the residual deviance If "train", "valid", and "xval" parameters are FALSE (default), then the training residual deviance value is returned. If more than one parameter is set to TRUE, then a named vector of residual deviances are returned, where the names are "train", "valid" or "xval". |
h2o.residual_dof |
Retrieve the residual degrees of freedom If "train", "valid", and "xval" parameters are FALSE (default), then the training residual degrees of freedom value is returned. If more than one parameter is set to TRUE, then a named vector of residual degrees of freedom are returned, where the names are "train", "valid" or "xval". |
h2o.rm |
Delete Objects In H2O |
h2o.runif |
Produce a Vector of Random Uniform Numbers |
h2o.saveModel |
Save an H2O Model Object to Disk |
h2o.scale |
Scaling and Centering of an H2O Frame |
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.shutdown |
Shut Down H2O Instance |
h2o.specificity |
H2O Model Metric Accessor Functions |
h2o.splitFrame |
Split an H2O Data Set |
h2o.startGLMJob |
Start an H2O Generalized Linear Model Job |
h2o.startLogging |
Start Writing H2O R Logs |
h2o.stopLogging |
Stop Writing H2O R Logs |
h2o.strsplit |
String Split |
h2o.sub |
String Substitute |
h2o.summary |
Summarizes the columns of a H2O data frame. |
h2o.svd |
Singular Value Decomposition |
h2o.table |
Cross Tabulation and Table Creation in H2O |
h2o.tabulate |
Tabulation between Two Columns of a H2O Frame |
h2o.tail |
Return the Head or Tail of an H2O Dataset. |
h2o.tnr |
H2O Model Metric Accessor Functions |
h2o.tolower |
To Lower |
h2o.totss |
Get the total sum of squares. If "train", "valid", and "xval" parameters are FALSE (default), then the training totss value is returned. If more than one parameter is set to TRUE, then a named vector of totss' are returned, where the names are "train", "valid" or "xval". |
h2o.tot_withinss |
Get the total within cluster sum of squares. If "train", "valid", and "xval" parameters are FALSE (default), then the training tot_withinss value is returned. If more than one parameter is set to TRUE, then a named vector of tot_withinss' are returned, where the names are "train", "valid" or "xval". |
h2o.toupper |
To Upper |
h2o.tpr |
H2O Model Metric Accessor Functions |
h2o.trim |
Trim Space |
h2o.uploadFile |
Import Files into H2O |
h2o.var |
Variance of a column. |
h2o.varimp |
Retrieve the variable importance. |
h2o.week |
Convert Milliseconds to Week of Week Year in H2O Datasets |
h2o.weights |
Retrieve the respective weight matrix |
h2o.withinss |
Get the Within SS |
h2o.year |
Convert Milliseconds to Years in H2O Datasets |
H2OAutoEncoderMetrics-class |
The H2OModelMetrics Object. |
H2OAutoEncoderModel-class |
The H2OModel object. |
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. |
H2ODimReductionMetrics-class |
The H2OModelMetrics Object. |
H2ODimReductionModel-class |
The H2OModel object. |
H2OGrid |
H2O Grid |
H2OGrid-class |
H2O Grid |
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. |
H2ORegressionMetrics-class |
The H2OModelMetrics Object. |
H2ORegressionModel-class |
The H2OModel object. |
H2OUnknownMetrics-class |
The H2OModelMetrics Object. |
H2OUnknownModel-class |
The H2OModel object. |
head.Frame |
Return the Head or Tail of an H2O Dataset. |
hour |
Convert Milliseconds to Hour of Day in H2O Datasets |
hour.Frame |
Convert Milliseconds to Hour of Day in H2O Datasets |
housevotes |
United States Congressional Voting Records 1984 |