-
rpart
:exclamation: This is a read-only mirror of the CRAN R package repository. rpart — Recursive Partitioning and Regression Trees. Homepage: https://github.com/bethatkinson/rpart, https://cran.r-project.org/package=rpart Report bugs for this package: https://github.com/bethatkinson/rpart/issues (by cran)
It seems like in rpart (which is the decision tree package), there is a check for if the factor is an ordered factor and if so it treats it as continuous but otherwise I don’t think so, and it splits on the category directly: https://github.com/cran/rpart/blob/master/R/rpart.R
-
InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
-
mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
I recommend trying my AutoML package. You can easily check many different algorithms. Waht is more, the baseline algorithms are checked (major class predictor for classification and mean predictor for regression). The advance of AutoML is that it is really quick. You dont need to write preprocessing code, just call fit method.
Related posts
-
Python, notebooks, no code recipes, AI = new desktop app for data analysis
-
Show HN: Supertree – interactive visualization of decision trees in Python
-
Fairness in machine learning
-
Show HN: AutoML Python Package for Tabular Data with Automatic Documentation
-
Python AutoML on Tabular Data with FeatureEng, HP Tuning, Explanations, AutoDoc