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mars-project / mars

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BayesWitnesses / m2cgen

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m2cgen output for xgboost with binary:logistic objective returns raw (not transformed) scores

5
ehoppmann
ehoppmann commented Aug 23, 2019

Our xgboost models use the binary:logistic' objective function, however the m2cgen converted version of the models return raw scores instead of the transformed scores.

This is fine as long as the user knows this is happening! I didn't, so it took a while to figure out what was going on. I'm wondering if perhaps a useful warning could be raised for users to alert them of this issue? A warning

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bug help wanted good first issue

dipanjanS / practical-machine-learning-with-python

Star 1.9k

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

python machine-learning natural-language-processing computer-vision deep-learning jupyter notebook clustering tensorflow scikit-learn keras jupyter-notebook pandas spacy nltk classification convolutional-neural-networks prophet statsmodels time-series-analysis
  • Updated Oct 1, 2020
  • Jupyter Notebook

danielhanchen / hyperlearn

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**IMPORTANT: On Contributing to HyperLearn + Note to Contributors

5
danielhanchen
danielhanchen commented Aug 29, 2018

Hey Contributor!

Thanks for checking out HyperLearn!! Super appreciate it.

Since the package is new (only started like August 27th)..., Issues are the best place to start helping out, and or check out the Projects tab. There's a whole list of stuff I envisioned to complete.

Also, if you have a NEW idea: please post an issue and label it new enhancement.

In terms of priorities, I wanted

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help wanted good first issue

ankishb / ml-toolbox

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This repo contains various data science strategy and machine learning models to deal with structure as well as unstructured data. It contains module on feature-preprocessing, feature-engineering, machine-learning-models, bayesian-parameter-tuning, etc, built using libraries such as scikit-learn, keras, h2o, xgboost, lightgbm, catboost, etc.

data-science machine-learning text-mining h2o feature-engineering bayesian-optimization statsmodels ensemble-model nan entity-embedding
  • Updated Jul 1, 2020
  • Python

vaitybharati / Assignment-04-Simple-Linear-Regression-2

Star 5

Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

python numpy smf eda pandas data-visualization seaborn p-value model-predictions feature-engineering ols-regression statsmodels model-building simple-linear-regression correlation-analysis t-score model-testing distplot regression-plot r-square-values
  • Updated May 30, 2021
  • Jupyter Notebook

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