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Hi
I think this package looks fantastic. I am wondering, however, what your plans are for implementing SkopeRules for regression. Are there any plans?
[I've made a start for adding regression](htt…
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## Summary
Be able to train a model using the following workflow:
- select goal
- select model to use
- they cannot use a regression model for a classification problem
- process data for model
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Лимит по статье: 12 страниц (это вместе с картинками, таблицами и прочим).
У анс чисто черновик с идеями получился 6.
Не разбить ли нам все это дело на две статьи? Хочу доводы за и против.
Мне с одн…
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1. Feature selection via exhaustive search.
2. Estimate search time
3. Try several other linear (svm) and non-linear (random forest, extra tree, gradientboost, xgboost) model
4. Model interpretation …
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Hi, I read it in your Readme that this repo supports PMML Decision Trees. However, I am not able to find a module that actually implements a decision tree scorer. The tree.go seems to implement and su…
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If any metric different than accuracy is used in the final evaluation (#29), we might suffer on imbalanced classes.
If that holds true, consider methods for fixing that, such as AdaBoost.
https:…
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Develop an API in Go. This API should take a time-series signal as an input, and call the backend model in Python. The time-series signal after having been passed through the model should be output.
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**Fundamentals**
1. Introduction to ML
- What is ML
- Types of ML systems
- ML in R
2. Before the modeling process
- Problem framing
- Planning & scoping
- Experimentation
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### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Google Analytics Capstone Project
:red_circle: **Aim** : Create an analysis model for the Google analytics using machin…