ClimbsRocks auto_ml issues

ClimbsRocks / auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

http://auto-ml.readthedocs.io

MIT License

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issues

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docs- document X_test and y_test

#342 ClimbsRocks opened 7 years ago
0
implement lightgbm's ranking predictors for confidence intervals, rather than sklearn's gradientboosting

#341 ClimbsRocks opened 7 years ago
0
training- let the user override num_trees for iterative models

#340 ClimbsRocks opened 7 years ago
0
ImportError: cannot import name 'Bunch'

#339 PaulVanDev closed 7 years ago
4
Questions

#338 onacrame closed 7 years ago
1
investigate ExtendedLabelEncoder more

#337 ClimbsRocks opened 7 years ago
0
error during LGBM predict_proba

#336 vkocaman closed 7 years ago
10
Argument 'X' has incorrect type (expected numpy.ndarray, got csr_matrix)

#335 vkocaman closed 7 years ago
6
figure out what's going on with the latest version of lightgbm

#334 ClimbsRocks opened 7 years ago
0
deep learning learning rate consistency across optimizers

#333 ClimbsRocks opened 7 years ago
0
.rst formatting rendering changes

#332 alvinthai closed 7 years ago
1
Error when using categorical ensemble

#331 danvass closed 7 years ago
2
increase iteration speed- take in transformed_X, and transformation_pipeline

#330 ClimbsRocks opened 7 years ago
1
Update estimator default config

#329 alejio closed 7 years ago
2
Got an unexpected keyword argument 'max_iter' in SGDClassifier

#328 tobegit3hub closed 7 years ago
7
Classification evaluation: Adjust confusion matrix and derivative metrics?

#327 alejio opened 7 years ago
0
X test

#326 ClimbsRocks closed 7 years ago
0
Custom eval metrics

#325 duoan closed 6 years ago
2
more logging of versions in trained models

#324 ClimbsRocks opened 7 years ago
0
make column names strings, not ints

#323 ClimbsRocks opened 7 years ago
0
TypeError: 'int' object is not subscriptable

#322 adam-haber closed 7 years ago
3
ensembling

#321 ClimbsRocks opened 7 years ago
0
Repeated KFold Cross Validation?

#320 samching opened 7 years ago
1
get_boston_dataset data while using 'DeepLearningRegressor', 'XGBRegressor'

#319 odykai2009 closed 7 years ago
1
Choosing best model from multiple models

#318 samching closed 7 years ago
1
How can I pass train/test splits to auto ml for classification?

#317 omarcr opened 7 years ago
3
Scikit learn __version__ = '0.19.0' error

#316 omarcr closed 7 years ago
5
categorical column with float and np.nan throws error when being converted to strings only with lgbm

#315 ClimbsRocks opened 7 years ago
2
ValueError: Iteration of zero-sized operands is not enabled

#314 azuric closed 7 years ago
4
ImportError: cannot import name frombuffer_empty

#313 jtdoepke closed 7 years ago
3
Problem with import

#312 Nirvana2211 closed 7 years ago
2
deep learning- don't get stuck predicting averages

#311 ClimbsRocks opened 7 years ago
0
let the user pass in their own model training code?

#310 ClimbsRocks opened 7 years ago
0
make sure compare_all_algos lives up to the name

#309 ClimbsRocks opened 7 years ago
0
speed up test suite

#308 ClimbsRocks opened 7 years ago
1
use Xavier or He for weight initializations

#307 ClimbsRocks opened 7 years ago
0
shuffle input data for training by default

#306 ClimbsRocks opened 7 years ago
0
documentation fixes

#305 alvinthai closed 7 years ago
2
allow the user to pass in False for prediction_intervals

#304 ClimbsRocks opened 7 years ago
0
TODO: adjust test bounds for classifiers after passing in new categorical variable for titanic

#303 ClimbsRocks opened 7 years ago
0
use loss = 'MultiClass' for catboost multiclass

#302 ClimbsRocks opened 7 years ago
0
add in CatBoost!

#301 ClimbsRocks opened 7 years ago
0
todos before merging in evolving

#300 ClimbsRocks opened 7 years ago
4
look into deleting FRD_MAP

#299 ClimbsRocks opened 7 years ago
0
add n_jobs as a training param

#298 ClimbsRocks opened 7 years ago
0
Single feature column and Multiple label columns for prediction

#297 setuc opened 7 years ago
0
feature responses- make the column all noise

#296 ClimbsRocks opened 7 years ago
0
FUTURE: parallelize training up our three different prediction_interval models

#295 ClimbsRocks opened 7 years ago
0
FUTURE: prediction_intervals- use xgboost or lightgbm instead of sklearn

#294 ClimbsRocks opened 7 years ago
0
add docs for training_params

#293 ClimbsRocks opened 7 years ago
1

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