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gptkbp:instanceOf
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automated machine learning tool
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gptkbp:developedBy
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gptkb:MLJAR
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gptkbp:documentation
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https://mljar.com/docs/
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gptkbp:feature
|
hyperparameter tuning
model selection
ensemble learning
explainability
no-code interface
automatic preprocessing
API interface
one-click training
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gptkbp:firstReleased
|
2019
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|
https://www.w3.org/2000/01/rdf-schema#label
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MLJAR AutoML
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gptkbp:integratesWith
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gptkb:SHAP
gptkb:CatBoost
gptkb:LightGBM
gptkb:TensorFlow
gptkb:XGBoost
gptkb:Keras
gptkb:matplotlib
gptkb:pandas
gptkb:scikit-learn
gptkb:numpy
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gptkbp:latestReleaseVersion
|
2024
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gptkbp:license
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gptkb:MIT_License
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gptkbp:memiliki_tugas
|
gptkb:dictionary
binary classification
regression
time series forecasting
multiclass classification
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gptkbp:npmPackage
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gptkb:mljar-supervised
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gptkbp:openSource
|
true
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gptkbp:platform
|
cross-platform
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gptkbp:programmingLanguage
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gptkb:Python
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|
gptkbp:repository
|
https://github.com/mljar/mljar-supervised
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gptkbp:usedFor
|
data science
machine learning automation
model benchmarking
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gptkbp:website
|
https://mljar.com/
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gptkbp:bfsParent
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gptkb:AutoML_models
gptkb:MLJAR
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gptkbp:bfsLayer
|
7
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