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Docs and readme fixes (#497)
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ItayGabbay committed Jan 5, 2022
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2 changes: 1 addition & 1 deletion README.rst
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Expand Up @@ -193,7 +193,7 @@ Followed by the visual outputs of all of the checks that are in that
suite, that isn't appended here for brevity.

For a full suite demonstration, check out the `Quickstart
Notebook <https://docs.deepchecks.com/en/stable/examples/howto-guides/quickstart_in_5_minutes.html?utm_source=github.com&utm_medium=referral&utm_campaign=readme>`__
Notebook <https://docs.deepchecks.com/en/stable/docs/source/examples/guides/quickstart_in_5_minutes.html?utm_source=github.com&utm_medium=referral&utm_campaign=readme>`__
and apply it on your own data and models.

Running a Check
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2 changes: 1 addition & 1 deletion docs/source/api/checks/integrity.rst
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Expand Up @@ -20,7 +20,7 @@ Classes Summary
is_single_value.IsSingleValue
label_ambiguity.LabelAmbiguity
mixed_nulls.MixedNulls
mixed_types.MixedDataTypes
mixed_data_types.MixedDataTypes
new_category.CategoryMismatchTrainTest
new_label.NewLabelTrainTest
special_chars.SpecialCharacters
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3 changes: 1 addition & 2 deletions docs/source/api/checks/methodology.rst
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Expand Up @@ -22,8 +22,7 @@ Classes Summary
identifier_leakage.IdentifierLeakage
index_leakage.IndexTrainTestLeakage
model_inference_time.ModelInferenceTimeCheck
performance_overfit.TrainTestDifferenceOverfit
single_feature_contribution.SingleFeatureContribution
single_feature_contribution_train_validation.SingleFeatureContributionTrainTest
single_feature_contribution_train_test.SingleFeatureContributionTrainTest
train_test_samples_mix.TrainTestSamplesMix
unused_features.UnusedFeatures
2 changes: 1 addition & 1 deletion docs/source/api/checks/performance.rst
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Expand Up @@ -16,8 +16,8 @@ Classes Summary
:template: check.rst

calibration_score.CalibrationScore
class_performance.ClassPerformance
confusion_matrix_report.ConfusionMatrixReport
model_error_analysis.ModelErrorAnalysis
performance_report.PerformanceReport
regression_error_distribution.RegressionErrorDistribution
regression_systematic_error.RegressionSystematicError
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4 changes: 2 additions & 2 deletions docs/source/conf.py
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Expand Up @@ -376,7 +376,7 @@ def generate_colab_url(notebook_path: str) -> str:
user=GIT['user'],
repo=GIT['repo'],
branch=GIT['release'],
notebook_path=notebook_path
notebook_path=f"docs/source/{notebook_path}"
)


Expand All @@ -397,7 +397,7 @@ def generate_binder_url(notebook_path: str) -> str:
user=GIT['user'],
repo=GIT['repo'],
branch=GIT['release'],
filepath=f"docs/source/${notebook_path}"
filepath=f"docs/source/{notebook_path}"
)


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7 changes: 5 additions & 2 deletions docs/source/examples/index.rst
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@@ -1,22 +1,25 @@
Examples
========

Guides
~~~~~~

.. toctree::
:maxdepth: 3
:titlesonly:
:caption: Guides
:glob:

guides/quickstart_in_5_minutes
guides/create_a_custom_suite
guides/add_a_custom_check
guides/configure_check_conditions

.. _examples-check-demonstrations:

Check Demonstrations
~~~~~~~~~~~~~~~~~~~~
.. toctree::
:maxdepth: 2
:caption: Check Demonstrations
:titlesonly:

checks/distribution/index
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2 changes: 1 addition & 1 deletion docs/source/getting-started/index.rst
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Expand Up @@ -59,7 +59,7 @@ Simply run the following command in a notebook cell:
Start Working with the Package!
=================================
To get started with deepchecks with 5 lines of code, head to :doc:`examples/howto-guides/quickstart_in_5_minutes`.
To get started with deepchecks with 5 lines of code, head to :doc:`/examples/guides/quickstart_in_5_minutes`.

For additional usage examples and for understanding the best practices of how to use the package, stay tuned for our additional
guides that will be added here with our official launch!
2 changes: 1 addition & 1 deletion docs/source/user-guide/key_concepts.rst
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Expand Up @@ -9,7 +9,7 @@ Check

Each check enables you to inspect a specific aspect of your data and models.
They are the basic building block of the deepchecks package, covering all kinds of common issues,
such as: PerformanceOverfit, DataSampleLeakage, SingleFeatureContribution, DataDuplicates, and :ref:`many more checks <examples/checks>`.
such as: PerformanceOverfit, DataSampleLeakage, SingleFeatureContribution, DataDuplicates, and :ref:`many more checks <examples-check-demonstrations>`.
Each check can have two types of results:

#. A visual result meant for display (e.g. a figure or a table).
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