Comments (3)
You understand it correctly. We also work on Mercury framework for publishing notebooks as web apps, https://runmercury.com The MLJAR Studio is complete platfrom for buliding and publishing Python projects.
from mljar-supervised.
You are 100% right. That's why we are building MLJAR Studio. It is notebook based programming environment for non-techies. It has interactive code recipes and managed Python environment. All running locally, because it is a desktop app. It is a cookbook with MLJAR AutoML recipes https://mljar.com/docs/python-automl/
Please let me know if it is what you were thinking about?
from mljar-supervised.
I appreciate your prompt reply; it is nice to hear that we are on the same track. I realized that data scientists and machine learning engineers would benefit from using the model as a web application. Although you can work with sizable datasets there, some students need machine learning (ML) in order to finish their research projects. For them, a web app might be too much. A code-free MLJAR website that processes the data and generates a final document containing your findings may be the answer to this issue.
Pardon me if I misunderstood any aspect of your work.
from mljar-supervised.
Related Issues (20)
- error during fit and predict
- stacking + kmeans features produces error
- Warning during fit HOT 2
- Warning during prediction, related to (#742)
- Binary Classification on Imbalanced Dataset HOT 2
- Sum of dataset records != Sum of Confusion matrix HOT 1
- user warning in test: tests/tests_algorithms/test_nn.py::MultiClassNeuralNetworkAlgorithmTest::test_fit_predict
- warning in test: tests/tests_automl/test_data_types.py::AutoMLDataTypesTest::test_category_data_type
- warning in test: tests/tests_automl/test_dir_change.py::AutoMLDirChangeTest::test_compute_predictions_after_dir_change HOT 1
- user warning in test: tests/tests_automl/test_targets.py::AutoMLTargetsTest::test_bin_class_AB_missing_targets
- user warning in test: tests/tests_automl/test_targets.py::AutoMLTargetsTest::test_multi_class_abcd_missing_target HOT 1
- user warning in test: tests/tests_automl/test_targets.py::AutoMLTargetsTest::test_regression_missing_target
- warning in test: tests/tests_automl/test_update_errors_report.py::AutoMLUpdateErrorsReportTest::test_custom_init HOT 1
- warning in test: tests/tests_preprocessing/test_goldenfeatures_transformer.py::GoldenFeaturesTransformerTest::test_features_count HOT 1
- warning in test: tests/tests_preprocessing/test_goldenfeatures_transformer.py::GoldenFeaturesTransformerTest::test_transformer HOT 1
- future warning in test: tests/tests_preprocessing/test_label_binarizer.py::LabelBinarizerTest::test_inverse_transform HOT 2
- user warning in test: tests/tests_preprocessing/test_scale.py::ScaleTest::test_fit_log_and_normal HOT 1
- user warning in test: tests/tests_preprocessing/test_scale.py::ScaleTest::test_to_and_from_json HOT 1
- user warning in test: tests/tests_validation/test_validator_kfold.py::KFoldValidatorTest::test_disable_repeats_when_disabled_shuffle HOT 1
- user warning in test: tests/tests_validation/test_validator_split.py::SplitValidatorTest::test_disable_repeats_when_disabled_shuffle HOT 1
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