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R is a free programming language and software environment for statistical computing and graphics. R has a wide variety of statistical linear and non-linear modeling and provides numerous graphical techniques.

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fniephaus
fniephaus commented Aug 10, 2018

Since state is a reserved keyword in Truffle's guard mechanism, it should not be possible to use it in a guard definition as this can cause serious problems. The annotation processor should either reject the state keyword in guard definitions or the state temporary variable produced by the processor should be renamed to avoid this conflict.

Here's an example:
<img width="629" alt="screen

feature truffle good first issue tracking
dash
sameermahajan
sameermahajan commented Nov 15, 2021

make_future_dataframe doesn't support regressors currently. So code like:

m = Prophet()
m.add_regressor('var')
m.fit(df)
forecasts = m.predict(m.make_future_dataframe(periods=7))

gives an error like:

ValueError: Regressor 'var' missing from dataframe when attempting to generate forecasts

I know prophet may not know what exact values to put for var in each of the rows a

enhancement good first issue
LightGBM
jameslamb
jameslamb commented Jan 27, 2021

Summary

mypy shows some issues in LightGBM's Python package.

mypy \
    --exclude='python-package/compile/|python-package/build' \
    --ignore-missing-imports \
    python-package/
18 errors in 4 files (click me)
python-package/lightgbm/compat.py:12: error: Name 'Series' already defined (possibly by an import)
python-package
fingoldo
fingoldo commented Mar 24, 2022

Problem:

_catboost.pyx in _catboost._set_features_order_data_pd_data_frame()

_catboost.pyx in _catboost.get_cat_factor_bytes_representation()

CatBoostError: Invalid type for cat_feature[non-default value idx=1,feature_idx=336]=2.0 : cat_features must be integer or string, real number values and NaN values should be converted to string.

Could you also print a feature name, not o

wowchemy-hugo-themes

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

  • Updated Apr 9, 2022
  • Jupyter Notebook
metaflow
romain-intel
romain-intel commented Feb 13, 2022

Currently, you can do something like this: Task(Flow/RunID/StepName) and this will not result in an error but then the resulting Task object behaves in a bizarre manner where things like t.data will work but t.data.my_artifact will not for example.

We should validate the format of the pathspec passed in to each object and verify that the following are the only possible cases:

  • Metaflo
bug good first issue upforgrabs
data-science-at-the-command-line
jeroenjanssens
jeroenjanssens commented Jun 10, 2020

I'm happy to announce that I'll be writing the second edition of Data Science at the Command Line (O'Reilly, 2014). This issue explains why I think a second edition is needed, lists what changes I plan to make, and presents a tentative outline. Finally, I have a few words about the process and giving feedback.

Why a second edition?

While the command line as a technology and as a way of w

wave

Created by Ross Ihaka, Robert Gentleman

Released August 1993

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