sktime sktime Discussions
Discussions
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You must be logged in to vote Time series classification on panel data with cross validation
module:classificationclassification module: time series classification -
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You must be logged in to vote Training process feedback
module:classificationclassification module: time series classification -
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You must be logged in to vote Should the verbose parameter in BaseGridSearch be a bool instead of an int?
module:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting -
You must be logged in to vote Help with MOIRAI Forecaster on Multivariate Dataset - Predicting Outliers
module:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting -
You must be logged in to vote How to create an Inverse Transform that is a mean of a distribution?
feature requestNew feature or request implementing algorithmsImplementing algorithms, estimators, objects native to sktime module:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting module:transformationstransformations module: time series transformation, feature extraction, pre-/post-processing module:probability&simulationprobability distributions and simulators -
You must be logged in to vote How to compare train vs test performance when using make_reduction?
module:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting -
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You must be logged in to vote M3 Quarterly Dataset
module:datasets&loadersdata sets and data loaders -
You must be logged in to vote Run validation set with LSTMFCNClassifier and tensorboard
module:classificationclassification module: time series classification -
You must be logged in to vote Help Converting sklearn Time Series Feature Engineering with Repeating Basis Functions (RBF for sklego)
module:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting module:transformationstransformations module: time series transformation, feature extraction, pre-/post-processing -
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You must be logged in to vote Apply Primitive Transformers (like Catch22) to Rolling Windows
module:transformationstransformations module: time series transformation, feature extraction, pre-/post-processing module:splitters&resamplersdata splitters and resamplers -
You must be logged in to vote Can TimeSeriesForestClassifier support multivariate series? I have multiple values at each point in time that I want to use in classification.
module:classificationclassification module: time series classification module:distances&kernelsdists_kernels and distances modules: time series distances, kernels, pairwise transforms -
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You must be logged in to vote Convert Pandas DF from multiple CSVs into a sktime compatible format for classification
module:classificationclassification module: time series classification module:datatypesdatatypes module: data containers, checkers & converters -
You must be logged in to vote Use fitted model on new unseen dataset without changing parameters
module:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting -
You must be logged in to vote More efficient backtesting
module:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting module:metrics&benchmarkingmetrics and benchmarking modules -
You must be logged in to vote How does one retrieve the optimal fit parameters from the AutoETS forecaster?
module:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting -
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You must be logged in to vote How does MeanAbsolutePercentageError deal with divide by zero errors?
module:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting module:metrics&benchmarkingmetrics and benchmarking modules -
You must be logged in to vote How to create a ForecastingPipeline with Differencer(na_handling='drop_na')?
bugSomething isn't working module:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting module:transformationstransformations module: time series transformation, feature extraction, pre-/post-processing
