R/GlobalVariables.R

# AutoQuant is a package for quickly creating high quality visualizations under a common and easy api.
# Copyright (C) <year>  <name of author>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program.  If not, see <https://www.gnu.org/licenses/>.

utils::globalVariables(
  names = c(
    "EvaluationMetrics",
    "PowerValue",
    "Weights",
    "Index",
    "RegressionMethods",
    "variable",
    "Arima_Artifacts_Score",
    "counter",
    "ForecastOutput",
    "FC_MaxValue",
    "FC_MaxValue",
    "list",
    "model_type.catboost.Model",
    "predict_model.catboost.Model",
    "ScoreGrid",
    "TrainArtifacts",
    "Counter1",
    "VariableImportance",
    "Successs",
    "Forecasts",
    "FinalFC",
    "ReturnData",
    "TSGridList",
    "TrainRows",
    "RunSuccess",
    "FC_Data",
    "FCPeriods",
    "Train_Score",
    "RawOutput",
    "FinalForecastData",
    "ReturnData",
    "AUC_List",
    "Adrian",
    "Appointments",
    "ArgsList",
    "Arima_Artifacts_Score",
    "BanditArmsN",
    "BanditProbs",
    "BanditProbs_Grid_1",
    "Blended_MAE",
    "Blended_MAPE",
    "Blended_MSE",
    "CalendarDateColumn",
    "CohortDateColumn",
    "CohortDays",
    "CohortPeriods",
    "ConversionCheck",
    "ConversionRate",
    "Correct_0",
    "Correct_1",
    "Counter1",
    "DataSetName",
    "DateColumnName",
    "Datex",
    "Dept",
    "DiffTrainOutput",
    "Differences",
    "EvalMetric",
    "FCPeriods",
    "FC_Data",
    "FC_MaxValue",
    "FC_Periods",
    "Factor_1",
    "FinalFC",
    "FinalForecastData",
    "FinalPredictedValue",
    "Forecast",
    "ForecastDiff",
    "ForecastOutput",
    "Forecasts",
    "FourierTerms",
    "GridIDs",
    "GridName",
    "GroupVariables",
    "GroupVars",
    "GroupingVariables",
    "HierarchGroups",
    "High80",
    "High95",
    "HolidayCounts",
    "HolidayLags",
    "HolidayMovingAverages",
    "HolidaysVars",
    "Incorrect_0",
    "Incorrect_1",
    "Independent_Variable1",
    "Independent_Variable10",
    "Independent_Variable2",
    "Independent_Variable3",
    "Independent_Variable4",
    "Independent_Variable5",
    "Independent_Variable6",
    "Independent_Variable7",
    "Independent_Variable8",
    "Independent_Variable9",
    "Leads",
    "Leads2",
    "Low80",
    "Low95",
    "Metric",
    "MetricsData",
    "ModForecast",
    "ModTarget",
    "ModelID",
    "ModelPath",
    "ModelRank",
    "ModelRankByDataType",
    "ModelRunNumber",
    "MovingAverages",
    "MultiClassTargetLevels",
    "NonGroupDateNames",
    "Objective",
    "Process",
    "RESULTS_TEST",
    "ROROC_Plot",
    "RUN_TIME",
    "Rate",
    "Rates",
    "RawOutput",
    "RegressionModels",
    "Results",
    "ReturnData",
    "Root",
    "RunNumber",
    "RunSuccess",
    "ScoreGrid",
    "ScoreRecords",
    "SeasonalDifferences",
    "SeasonalMovingAverages",
    "Segment",
    "SelectRows",
    "Size",
    "Store",
    "Successes",
    "Successs",
    "TEMPDATE",
    "TSGridList",
    "TargetColumn",
    "TargetDiff",
    "TargetDiffMidStep",
    "TestDataEval",
    "TestModel",
    "TimeUnit",
    "TrainArtifacts",
    "TrainOnFull_Arg",
    "TrainRows",
    "Train_MAE",
    "Train_MAPE",
    "Train_MSE",
    "Train_Score",
    "TransformationObject",
    "Trees",
    "Trials",
    "UseARMAErrors",
    "Validate_MAE",
    "Validate_MAPE",
    "Validate_MSE",
    "XREG",
    "XREGFC",
    "XREGS",
    "counter",
    "deltat",
    "dgeom",
    "i.HolidayCounts",
    "input",
    "installed.packages",
    "lambda",
    "percRank",
    "pnorm",
    "preds",
    "qnorm",
    "reorder",
    "run",
    "sqlQuery",
    "task_type",
    "tsp",
    "x",
    "x1",
    "x2",
    "xx",
    "zz",
    "Temporary",
    "runs",
    "ScoringData",
    "FinalData",
    "..CountDataNamesFinal",
    "FC_Window",
    "..SizeDataNamesFinal",
    "Name",
    "Truth",
    "txn",
    "Txns",
    "TimeSinceLastDemand",
    "Date_Range",
    "TargetColumnName",
    "FullLength",
    "Length",
    "MinDate",
    "MaxDate",
    "Lag",
    "fourier",
    "TimeTrend",
    "ColumnName",
    "MethodName",
    "Lambda",
    "ColumnName",
    "OrderNumber",
    "ItemNumber",
    "ProductA",
    "Predictions_C1",
    "Predictions_C0",
    "model_id",
    "ProductB",
    "Chi_SQ",
    "Lift",
    "P_Value",
    "pchisq",
    "RuleRank",
    "NormalizedStatistics",
    "Text",
    "ID_Factorizer",
    "MaxCols",
    "optimize",
    "N",
    "Target_Buckets",
    "var",
    "buckets",
    "UpdatedPrediction",
    "StratCol",
    "Weekly_Sales",
    "Predictions",
    "IDcols",
    "AbsoluteError",
    "GroupVar",
    "MAE",
    "MSE",
    "PercentileRank",
    "PredictIsoForest",
    "SquaredError",
    "..keep1",
    "GroupVar",
    "R2_Metric",
    "test",
    "RelativeImportance",
    "ScaledImportance",
    "Percentage",
    "PredictedOutlier",
    "idx",
    "Value",
    "p0",
    "<<-",
    ":=",
    ".I",
    "catboostGridList",
    "fwrite",
    "setnames",
    "Gain",
    "RANDOMNUMBER",
    "Frequency",
    "Cover",
    "MinVal",
    "Feature",
    "NewLevels",
    "OriginalLevels",
    "bootstrap_type",
    "Metric1",
    "TargetLevels",
    "Metric2",
    "Metric3",
    "Predict",
    "Predicted",
    "setorderv",
    "rbindlist",
    "is.data.table",
    "as.data.table",
    ".N",
    "%chin%",
    "setcolorder",
    ".SD",
    "SFreq",
    "BinaryRatingsMatrix",
    "Residuals",
    "ind",
    "RANDOMNUMER",
    "p1",
    "MetricValue",
    "Threshold",
    "EvalStat",
    "ParamRow",
    "ModelNumber",
    "Specificity",
    "Importance",
    "Variable",
    "ObsNum",
    "type",
    "KMeansModelFile",
    "FilePath1",
    "FilePath2",
    "fitY",
    "Nam",
    "RatingMatrix",
    "ProductRank",
    "model",
    "n_products",
    "TPR",
    "item",
    "value",
    "act",
    "MeanAbsError",
    "SupplyData",
    "string",
    "..string",
    "NThreads",
    "MaxMem",
    "LCVals",
    "Row",
    "ErrorCollectionLog",
    "prophet",
    "pushViewport",
    "quantile",
    "removeNumbers",
    "removePunctuation",
    "removeWords",
    "residuals",
    "rnorm",
    "runif",
    "sd",
    "stemDocument",
    "stopCluster",
    "stopwords",
    "stripWhitespace",
    "theme",
    "tm_map",
    "ts",
    "val1",
    "val2",
    "val3",
    "vals",
    "viewport",
    "wordcloud",
    "xlab",
    "years",
    "ylab",
    "TermDocumentMatrix",
    "Thresholds",
    "Type",
    "Utilities",
    "Utility",
    "V1",
    "V2",
    "V3",
    "VectorSource",
    "acts",
    "aes",
    "as.formula",
    "as_date",
    "coefhat",
    "content_transformer",
    "ds",
    "f0point5",
    "f1",
    "f2",
    "fitted",
    "head",
    "i",
    "id",
    "lm",
    "margin",
    "meanResid",
    "monreg",
    "nls",
    "object.size",
    "output",
    "percentaR",
    "CMD",
    "check",
    "results",
    "Thresh",
    "Label",
    "..k",
    "..j",
    "Date",
    "Target",
    "RowNumAsc",
    "AnomHigh",
    "AnomLow",
    "CumAnomHigh",
    "CumAnomLow",
    "AnomHighRate",
    "AnomLowRate",
    "predict",
    "..cols",
    ".",
    "..keep",
    "Output",
    "MTHT",
    "MTLT",
    "TEMP",
    "Accuracy",
    "FC_Eval",
    "DateTime",
    "Resid",
    "PercentError",
    "AbsolutePercentError",
    "ModelName",
    "MAPE",
    "ID",
    "Forecast_PROPHET",
    "percentage",
    "data",
    "FilePath",
    "grid_tuned_paths",
    "StoreFile",
    "temp",
    "Path"
  )
)
AdrianAntico/RemixAutoML documentation built on Feb. 3, 2024, 3:32 a.m.