h2o v3.22.1.1
0
Monthly downloads
R Interface for 'H2O'
R interface for 'H2O', the scalable open source machine learning
platform that offers parallelized implementations of many supervised and
unsupervised machine learning algorithms such as Generalized Linear
Models, Gradient Boosting Machines (including XGBoost), Random Forests,
Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox
Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic
machine learning algorithm (AutoML).
Functions in h2o
| Name | Description | |
| H2ONode-class | The H2ONode class. | |
| H2OModel-class | The H2OModel object. | |
| h2o.cummin | Return the cumulative min over a column or across a row | |
| colnames | Returns the column names of an H2OFrame | |
| H2OCoxPHModel-class | The H2OCoxPHModel object. | |
| .skip_if_not_developer | H2O <-> R Communication and Utility Methods | |
| h2o.clearLog | Delete All H2O R Logs | |
| h2o.deepwater | Build a Deep Learning model using multiple native GPU backends | |
| as.data.frame.H2OFrame | Converts parsed H2O data into an R data frame | |
| h2o.aggregator | Build an Aggregated Frame | |
| .collapse | Helper Collapse Function | |
| H2OSplitNode-class | The H2OSplitNode class. | |
| as.matrix.H2OFrame | Convert an H2OFrame to a matrix | |
| Ops.H2OFrame | S3 Group Generic Functions for H2O | |
| as.character.H2OFrame | Convert an H2OFrame to a String | |
| h2o.asfactor | Convert H2O Data to Factors | |
| h2o.aggregated_frame | Retrieve an aggregated frame from an Aggregator model | |
| h2o.deeplearning | Build a Deep Neural Network model using CPUs | |
| h2o.confusionMatrix | Access H2O Confusion Matrices | |
| .h2o.__JOBS | Administrative Endpoints | |
| H2OLeafNode-class | The H2OLeafNode class. | |
| h2o.gainsLift | Access H2O Gains/Lift Tables | |
| H2OGrid-class | H2O Grid | |
| .verify_dataxy | Used to verify data, x, y and turn into the appropriate things | |
| h2o.list_core_extensions | List registered core extensions | |
| h2o.cummax | Return the cumulative max over a column or across a row | |
| as.numeric | Convert H2O Data to Numeric | |
| dimnames.H2OFrame | Column names of an H2OFrame | |
| .addParm | TODO: No objects in this file are being used. Either remove file or use objects. | |
| h2o.getTimezone | Get the Time Zone on the H2O Cloud Returns a string | |
| .h2o.doSafeGET | Perform a safe (i.e. error-checked) HTTP GET request to an H2O cluster. | |
| h2o.coef | Return the coefficients that can be applied to the non-standardized data. | |
| .h2o.__LOGANDECHO | Log and Echo Endpoint | |
| .h2o.doSafePOST | Perform a safe (i.e. error-checked) HTTP POST request to an H2O cluster. | |
| dim.H2OFrame | Returns the Dimensions of an H2OFrame | |
| print.H2OFrame | Print An H2OFrame | |
| h2o.deepwater.available | Determines whether Deep Water is available | |
| h2o.bottomN | H2O bottomN | |
| h2o.scoreHistory | Retrieve Model Score History | |
| h2o.biases | Return the respective bias vector | |
| h2o.centers | Retrieve the Model Centers | |
| 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.asnumeric | Convert H2O Data to Numerics | |
| h2o.computeGram | Compute weighted gram matrix. | |
| .h2o.__W2V_SYNONYMS | Word2Vec Endpoints | |
| H2OModelMetrics-class | The H2OModelMetrics Object. | |
| h2o.download_pojo | Download the Scoring POJO (Plain Old Java Object) of an H2O Model | |
| h2o.init | Initialize and Connect to H2O | |
| h2o.centroid_stats | Retrieve centroid statistics | |
| h2o.sum | Compute the frame's sum by-column (or by-row). | |
| h2o.downloadCSV | Download H2O Data to Disk | |
| .pkg.env | The H2O Package Environment | |
| h2o.centersSTD | Retrieve the Model Centers STD | |
| h2o.createFrame | Data H2OFrame Creation in H2O | |
| .h2o.is_progress | Check if Progress Bar is Enabled | |
| h2o.cos | Compute the cosine of x | |
| h2o.ifelse | H2O Apply Conditional Statement | |
| h2o.getFutureModel | Get future model | |
| .h2o.__MODEL_METRICS | Model Metrics Endpoint | |
| h2o.logloss | Retrieve the Log Loss Value | |
| h2o.day | Convert Milliseconds to Day of Month in H2O Datasets | |
| .h2o.doRawGET | Perform a low-level HTTP GET operation on an H2O instance | |
| H2OModelFuture-class | H2O Future Model | |
| h2o-package | H2O R Interface | |
| h2o.cosh | Compute the hyperbolic cosine of x | |
| h2o.cut | Cut H2O Numeric Data to Factor | |
| .h2o.__CREATE_FRAME | H2OFrame Manipulation | |
| h2o.getFrame | Get an R Reference to an H2O Dataset, that will NOT be GC'd by default | |
| h2o.tabulate | Tabulation between Two Columns of an H2OFrame | |
| h2o.mean_residual_deviance | Retrieve the Mean Residual Deviance value | |
| h2o.as_date | Convert between character representations and objects of Date class | |
| .h2o.__DKV | Removal Endpoints | |
| h2o.deepfeatures | Feature Generation via H2O Deep Learning or DeepWater Model | |
| H2OTree-class | The H2OTree class. | |
| 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. | |
| H2OConnection-class | The H2OConnection class. | |
| h2o.head | Return the Head or Tail of an H2O Dataset. | |
| h2o.download_mojo | Download the model in MOJO format. | |
| h2o.hour | Convert Milliseconds to Hour of Day in H2O Datasets | |
| h2o.levels | Return the levels from the column requested column. | |
| h2o.stringdist | Compute element-wise string distances between two H2OFrames | |
| h2o.gsub | String Global Substitute | |
| Logical-or | Logical or for H2OFrames | |
| h2o.kurtosis | Kurtosis of a column | |
| H2OAutoML-class | The H2OAutoML class | |
| h2o.entropy | Shannon entropy | |
| h2o.scale | Scaling and Centering of an H2OFrame | |
| h2o.dim | Returns the number of rows and columns for an H2OFrame object. | |
| h2o.group_by | Group and Apply by Column | |
| h2o.pr_auc | Retrieve the pr_auc | |
| h2o.prcomp | Principal component analysis of an H2O data frame | |
| h2o.gbm | Build gradient boosted classification or regression trees | |
| h2o.merge | Merge Two H2O Data Frames | |
| h2o.substring | Substring | |
| h2o.cross_validation_models | Retrieve the cross-validation models | |
| h2o.networkTest | View Network Traffic Speed | |
| h2o.prod | Return the product of all the values present in its arguments. | |
| h2o.arrange | Sorts an H2O frame by columns | |
| h2o.killMinus3 | Dump the stack into the JVM's stdout. | |
| h2o.grid | H2O Grid Support | |
| .h2o.__IMPORT | Import/Export Endpoints | |
| as.vector.H2OFrame | Convert an H2OFrame to a vector | |
| h2o.kmeans | Performs k-means clustering on an H2O dataset | |
| h2o.listTimezones | List all of the Time Zones Acceptable by the H2O Cloud. | |
| h2o.insertMissingValues | Insert Missing Values into an H2OFrame | |
| h2o.parseRaw | H2O Data Parsing | |
| h2o.str | Display the structure of an H2OFrame object | |
| .h2o.primitives | Map of operations known to H2O | |
| h2o.word2vec | Trains a word2vec model on a String column of an H2O data frame | |
| australia | Australia Coastal Data | |
| h2o.median | H2O Median | |
| h2o.log1p | Compute the log1p of x | |
| apply | Apply on H2O Datasets | |
| H2OConnectionMutableState | The H2OConnectionMutableState class | |
| h2o.log10 | Compute the log10 of x | |
| H2OFrame-Extract | Extract or Replace Parts of an H2OFrame Object | |
| h2o.nchar | String length | |
| h2o.metric | H2O Model Metric Accessor Functions | |
| h2o.dimnames | Column names of an H2OFrame | |
| H2OCoxPHModelSummary-class | The H2OCoxPHModelSummary object. | |
| h2o.rep_len | Replicate Elements of Vectors or Lists into H2O | |
| && | Logical and for H2OFrames | |
| .h2o.__MODEL_BUILDERS | Model Builder Endpoint Generator | |
| H2OClusteringModel-class | The H2OClusteringModel object. | |
| h2o.ncol | Return the number of columns present in x. | |
| h2o.list_all_extensions | List all H2O registered extensions | |
| H2OFrame-class | The H2OFrame class | |
| h2o.cbind | Combine H2O Datasets by Columns | |
| h2o.ls | List Keys on an H2O Cluster | |
| .h2o.__RAPIDS | Rapids Endpoint | |
| h2o.openLog | View H2O R Logs | |
| h2o.fillna | fillNA | |
| h2o.aic | Retrieve the Akaike information criterion (AIC) value | |
| h2o.tan | Compute the tangent of x | |
| h2o.nlevels | Get the number of factor levels for this frame. | |
| h2o.getId | Get back-end distributed key/value store id from an H2OFrame. | |
| .h2o.doRawPOST | Perform a low-level HTTP POST operation on an H2O instance | |
| h2o.trim | Trim Space | |
| h2o.mse | Retrieves Mean Squared Error Value | |
| .h2o.__EXPORT_FILES | Export Files Endpoint Generator | |
| h2o.splitFrame | Split an H2O Data Set | |
| h2o.cross_validation_fold_assignment | Retrieve the cross-validation fold assignment | |
| h2o.residual_deviance | Retrieve the residual deviance | |
| .h2o.__checkConnectionHealth | Check H2O Server Health | |
| ModelAccessors | Accessor Methods for H2OModel Object | |
| .h2o.doPOST | Just like doRawPOST but fills in the default h2oRestApiVersion if none is provided | |
| h2o.quantile | Quantiles of H2O Frames. | |
| h2o.r2 | Retrieve the R2 value | |
| h2o.skewness | Skewness of a column | |
| summary,H2OGrid-method | Format grid object in user-friendly way | |
| h2o.stopLogging | Stop Writing H2O R Logs | |
| .h2o.__MODELS | Model Endpoint | |
| h2o.clusterStatus | Return the status of the cluster | |
| h2o.week | Convert Milliseconds to Week of Week Year in H2O Datasets | |
| .h2o.__FRAMES | Inspect/Summary Endpoints | |
| h2o.ceiling | Take a single numeric argument and return a numeric vector with the smallest integers | |
| walking | Muscular Actuations for Walking Subject | |
| h2o.clusterInfo | Print H2O cluster info | |
| h2o.print | Print An H2OFrame | |
| .h2o.__DECRYPTION_SETUP | Decryption Endpoints | |
| h2o.dct | Compute DCT of an H2OFrame | |
| h2o.strsplit | String Split | |
| h2o.auc | Retrieve the AUC | |
| h2o.summary | Summarizes the columns of an H2OFrame. | |
| h2o.dayOfWeek | Convert Milliseconds to Day of Week in H2O Datasets | |
| generate_col_ind | CHeck to see if the column names/indices entered is valid for the dataframe given. This is an internal function | |
| h2o.giniCoef | Retrieve the GINI Coefficcient | |
| .h2o.__REST_API_VERSION | H2O Package Constants | |
| h2o.coxph | Trains a Cox Proportional Hazards Model (CoxPH) on an H2O dataset | |
| .h2o.__ALL_CAPABILITIES | Capabilities endpoints | |
| h2o.saveMojo | Save an H2O Model Object as Mojo to Disk | |
| h2o.transform | Transform words (or sequences of words) to vectors using a word2vec model. | |
| is.factor | Check if factor | |
| .h2o.locate | Locate a file given the pattern <bucket>/<path/to/file> e.g. h2o:::.h2o.locate("smalldata/iris/iris22.csv") returns the absolute path to iris22.csv | |
| h2o.abs | Compute the absolute value of x | |
| h2o.filterNACols | Filter NA Columns | |
| names.H2OFrame | Column names of an H2OFrame | |
| h2o.anomaly | Anomaly Detection via H2O Deep Learning Model | |
| h2o.acos | Compute the arc cosine of x | |
| aaa | Starting H2O For examples | |
| h2o.list_api_extensions | List registered API extensions | |
| h2o.varimp_plot | Plot Variable Importances | |
| h2o.anyFactor | Check H2OFrame columns for factors | |
| zzz | Shutdown H2O cloud after examples run | |
| as.factor | Convert H2O Data to Factors | |
| plot.H2OModel | Plot an H2O Model | |
| h2o.withinss | Get the Within SS | |
| h2o.automl | Automatic Machine Learning | |
| h2o.clusterIsUp | Determine if an H2O cluster is up or not | |
| h2o.getConnection | Retrieve an H2O Connection | |
| h2o.assign | Rename an H2O object. | |
| h2o.ascharacter | Convert H2O Data to Characters | |
| h2o.isolationForest | Trains an Isolation Forest model | |
| h2o.all | Given a set of logical vectors, are all of the values true? | |
| h2o.cross_validation_holdout_predictions | Retrieve the cross-validation holdout predictions | |
| is.h2o | Is H2O Frame object | |
| print.H2OTable | Print method for H2OTable objects | |
| h2o.betweenss | Get the between cluster sum of squares | |
| as.h2o | Create H2OFrame | |
| h2o.no_progress | Disable Progress Bar | |
| h2o.ddply | Split H2O Dataset, Apply Function, and Return Results | |
| h2o.cor | Correlation of columns. | |
| h2o.getAutoML | Get an R object that is a subclass of H2OAutoML | |
| h2o.connect | Connect to a running H2O instance. | |
| h2o.cross_validation_predictions | Retrieve the cross-validation predictions | |
| h2o.columns_by_type | Obtain a list of columns that are specified by `coltype` | |
| h2o.getModel | Get an R reference to an H2O model | |
| h2o.cumprod | Return the cumulative product over a column or across a row | |
| .h2o.__PARSE_SETUP | Parse Endpoints | |
| h2o.getTypes | Get the types-per-column | |
| h2o.floor | Take a single numeric argument and return a numeric vector with the largest integers | |
| h2o.cluster_sizes | Retrieve the cluster sizes | |
| h2o.glm | Fit a generalized linear model | |
| h2o.log | Compute the logarithm of x | |
| h2o.decryptionSetup | Setup a Decryption Tool | |
| h2o.cumsum | Return the cumulative sum over a column or across a row | |
| h2o.target_encode_apply | Apply Target Encoding Map to Frame | |
| h2o.importFile | Import Files into H2O | |
| h2o.difflag1 | Conduct a lag 1 transform on a numeric H2OFrame column | |
| h2o.find_row_by_threshold | Find the threshold, give the max metric. No duplicate thresholds allowed | |
| h2o.ischaracter | Check if character | |
| h2o.exportFile | Export an H2O Data Frame (H2OFrame) to a File or to a collection of Files. | |
| .h2o.doGET | Just like doRawGET but fills in the default h2oRestApiVersion if none is provided | |
| h2o.isnumeric | Check if numeric | |
| h2o.parseSetup | Get a parse setup back for the staged data. | |
| h2o.range | Returns a vector containing the minimum and maximum of all the given arguments. | |
| h2o.exportHDFS | Export a Model to HDFS | |
| h2o.findSynonyms | Find synonyms using a word2vec model. | |
| h2o.any | Given a set of logical vectors, is at least one of the values true? | |
| h2o.naiveBayes | Compute naive Bayes probabilities on an H2O dataset. | |
| h2o.import_sql_select | Import SQL table that is result of SELECT SQL query into H2O | |
| h2o.mean | Compute the frame's mean by-column (or by-row). | |
| h2o.exp | Compute the exponential function of x | |
| h2o.removeAll | Remove All Objects on the H2O Cluster | |
| staged_predict_proba.H2OModel | Predict class probabilities at each stage of an H2O Model | |
| h2o.colnames | Return column names of an H2OFrame | |
| h2o.flow | Open H2O Flow | |
| h2o.interaction | Categorical Interaction Feature Creation in H2O | |
| h2o.make_metrics | Create Model Metrics from predicted and actual values in H2O | |
| h2o.na_omit | Remove Rows With NAs | |
| h2o.downloadAllLogs | Download H2O Log Files to Disk | |
| h2o.setLevels | Set Levels of H2O Factor Column | |
| h2o.signif | Round doubles/floats to the given number of significant digits. | |
| h2o.mean_per_class_error | Retrieve the mean per class error | |
| h2o.glrm | Generalized low rank decomposition of an H2O data frame | |
| h2o.hit_ratio_table | Retrieve the Hit Ratios | |
| h2o.kfold_column | Produce a k-fold column vector. | |
| str.H2OFrame | Display the structure of an H2OFrame object | |
| h2o.find_threshold_by_max_metric | Find the threshold, give the max metric | |
| h2o.describe | H2O Description of A Dataset | |
| h2o.distance | Compute a pairwise distance measure between all rows of two numeric H2OFrames. | |
| h2o.saveModel | Save an H2O Model Object to Disk | |
| h2o.totss | Get the total sum of squares. | |
| h2o.mojo_predict_csv | H2O Prediction from R without having H2O running | |
| h2o.lstrip | Strip set from left | |
| h2o.logAndEcho | Log a message on the server-side logs | |
| h2o.log2 | Compute the log2 of x | |
| h2o.getVersion | Get h2o version | |
| h2o.isax | iSAX | |
| h2o.grep | Search for matches to an argument pattern | |
| h2o.getGLMFullRegularizationPath | Extract full regularization path from a GLM model | |
| h2o.round | Round doubles/floats to the given number of decimal places. | |
| h2o.import_sql_table | Import SQL Table into H2O | |
| h2o.hist | Compute A Histogram | |
| h2o.makeGLMModel | Set betas of an existing H2O GLM Model | |
| h2o.is_client | Check Client Mode Connection | |
| h2o.getGrid | Get a grid object from H2O distributed K/V store. | |
| h2o.month | Convert Milliseconds to Months in H2O Datasets | |
| h2o.num_valid_substrings | Count of substrings >= 2 chars that are contained in file | |
| h2o.isfactor | Check if factor | |
| h2o.predict_json | H2O Prediction from R without having H2O running | |
| h2o.impute | Basic Imputation of H2O Vectors | |
| h2o.num_iterations | Retrieve the number of iterations. | |
| h2o.loadModel | Load H2O Model from HDFS or Local Disk | |
| h2o.min | Returns the minima of the input values. | |
| h2o.topN | H2O topN | |
| h2o.null_deviance | Retrieve the null deviance | |
| h2o.nacnt | Count of NAs per column | |
| h2o.partialPlot | Partial Dependence Plots | |
| h2o.proj_archetypes | Convert Archetypes to Features from H2O GLRM Model | |
| h2o.xgboost.available | Determines whether an XGBoost model can be built | |
| h2o.null_dof | Retrieve the null degrees of freedom | |
| h2o.mojo_predict_df | H2O Prediction from R without having H2O running | |
| h2o.shutdown | Shut Down H2O Instance | |
| h2o.sd | Standard Deviation of a column of data. | |
| h2o.residual_dof | Retrieve the residual degrees of freedom | |
| h2o.match | Value Matching in H2O | |
| iris | Edgar Anderson's Iris Data | |
| h2o.tanh | Compute the hyperbolic tangent of x | |
| 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. | |
| predict.H2OModel | Predict on an H2O Model | |
| h2o.max | Returns the maxima of the input values. | |
| h2o.varimp | Retrieve the variable importance. | |
| h2o.show_progress | Enable Progress Bar | |
| h2o.names | Column names of an H2OFrame | |
| h2o.performance | Model Performance Metrics in H2O | |
| h2o.mae | Retrieve the Mean Absolute Error Value | |
| h2o.setTimezone | Set the Time Zone on the H2O Cloud | |
| h2o.reconstruct | Reconstruct Training Data via H2O GLRM Model | |
| h2o.stackedEnsemble | Builds a Stacked Ensemble | |
| h2o.startLogging | Start Writing H2O R Logs | |
| h2o.mktime | Compute msec since the Unix Epoch | |
| h2o.relevel | Reorders levels of an H2O factor, similarly to standard R's relevel. | |
| h2o.rbind | Combine H2O Datasets by Rows | |
| h2o.saveModelDetails | Save an H2O Model Details | |
| h2o.tokenize | Tokenize String | |
| h2o.target_encode_create | Create Target Encoding Map | |
| h2o.rm | Delete Objects In H2O | |
| h2o.rstrip | Strip set from right | |
| h2o.sin | Compute the sine of x | |
| h2o.pivot | Pivot a frame | |
| h2o.sqrt | Compute the square root of x | |
| h2o.nrow | Return the number of rows present in x. | |
| h2o.runif | Produce a Vector of Random Uniform Numbers | |
| h2o.sub | String Substitute | |
| housevotes | United States Congressional Voting Records 1984 | |
| h2o.svd | Singular value decomposition of an H2O data frame using the power method | |
| h2o.toFrame | Convert a word2vec model into an H2OFrame | |
| predict_leaf_node_assignment.H2OModel | Predict the Leaf Node Assignment on an H2O Model | |
| h2o.which_max | Which indice contains the max value? | |
| h2o.tolower | Convert strings to lowercase | |
| h2o.var | Variance of a column or covariance of columns. | |
| h2o.std_coef_plot | Plot Standardized Coefficient Magnitudes | |
| h2o.weights | Retrieve the respective weight matrix | |
| h2o.which | Which indices are TRUE? | |
| h2o.table | Cross Tabulation and Table Creation in H2O | |
| h2o.year | Convert Milliseconds to Years in H2O Datasets | |
| h2o.toupper | Convert strings to uppercase | |
| predict.H2OAutoML | Predict on an AutoML object | |
| h2o.tot_withinss | Get the total within cluster sum of squares. | |
| h2o.which_min | Which index contains the min value? | |
| length,H2OTree-method | Overrides the behavior of length() function on H2OTree class. Returns number of nodes in an H2OTree | |
| prostate | Prostate Cancer Study | |
| is.numeric | Check if numeric | |
| range.H2OFrame | Range of an H2O Column | |
| h2o.randomForest | Build a Random Forest model | |
| h2o.xgboost | Build an eXtreme Gradient Boosting model | |
| h2o.removeVecs | Delete Columns from an H2OFrame | |
| h2o.rmse | Retrieves Root Mean Squared Error Value | |
| use.package | Use optional package | |
| summary,H2OModel-method | Print the Model Summary | |
| summary,H2OCoxPHModel-method | Summary method for H2OCoxPHModel objects | |
| is.character | Check if character | |
| h2o.rmsle | Retrieve the Root Mean Squared Log Error | |
| h2o.sdev | Retrieve the standard deviations of principal components | |
| h2o.trunc | Truncate values in x toward 0 | |
| plot.H2OTabulate | Plot an H2O Tabulate Heatmap | |
| h2o.unique | H2O Unique | |
| No Results! | ||
Last month downloads
Details
| Type | Package |
| Date | 2018-12-28 |
| License | Apache License (== 2.0) |
| URL | https://github.com/h2oai/h2o-3 |
| BugReports | https://0xdata.atlassian.net/projects/PUBDEV |
| NeedsCompilation | no |
| SystemRequirements | Java (>= 7) |
| Collate | 'aggregator.R' 'astfun.R' 'automl.R' 'classes.R' 'config.R' 'connection.R' 'constants.R' 'datasets.R' 'logging.R' 'communication.R' 'kvstore.R' 'frame.R' 'import.R' 'isolationforest.R' 'parse.R' 'export.R' 'edicts.R' 'models.R' 'coxph.R' 'coxphutils.R' 'kmeans.R' 'gbm.R' 'glm.R' 'glrm.R' 'pca.R' 'svd.R' 'deeplearning.R' 'stackedensemble.R' 'deepwater.R' 'xgboost.R' 'randomforest.R' 'naivebayes.R' 'word2vec.R' 'w2vutils.R' 'locate.R' 'grid.R' 'predict.R' 'zzz.R' |
| RoxygenNote | 6.1.1 |
| Packaged | 2018-12-28 14:07:47 UTC; jenkins |
| Repository | CRAN |
| Date/Publication | 2019-01-10 22:20:03 UTC |
| suggests | bit64 (>= 0.9.7) , data.table (>= 1.9.8) , ggplot2 , Matrix , mlbench , slam , survival |
| imports | graphics , jsonlite , RCurl , tools , utils |
| depends | methods , R (>= 2.13.0) , stats |
| Contributors | Amy Wang, Spencer Aiello, Tom Kraljevic, Anqi Fu, Yuan Tang, Jan Gorecki, Matt Dowle, Patrick Aboyoun, H2O.ai, Navdeep Gill, Arno Candel, Cliff Click, Tomas Nykodym, Michal Kurka, Michal Malohlava, Ludi Rehak, Eric Eckstrand, Brandon Hill, Sebastian Vidrio, Surekha Jadhawani, Raymond Peck, Wendy Wong, Lauren DiPerna |
Include our badge in your README
[](http://www.rdocumentation.org/packages/h2o)