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hotfix/0.4.1 update to docs requirements.
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hotfix/0.4.1 update to docs requirements.
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benhorsburgh authored Jan 28, 2020
2 parents 4f8ba1c + 572f644 commit f6cb4ba
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7 changes: 2 additions & 5 deletions .readthedocs.yml
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Expand Up @@ -24,8 +24,5 @@ python:
install:
- method: pip
path: .
extra_requirements:
- docs
- requirements:
- test_requirements.txt
- doc_requirements.txt
- requirements: test_requirements.txt
- requirements: doc_requirements.txt
2 changes: 1 addition & 1 deletion README.md
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![CausalNex](docs/source/causalnex_banner.png)
![CausalNex](https://raw.githubusercontent.com/quantumblacklabs/causalnex/master/docs/source/causalnex_banner.png)

-----------------

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4 changes: 4 additions & 0 deletions RELEASE.md
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# Release 0.4.1:

Bugfix to address readthedocs issue.

# Release 0.4.0:

The initial release of CausalNex.
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2 changes: 1 addition & 1 deletion causalnex/__init__.py
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causalnex toolkit for causal reasoning (Bayesian Networks / Inference)
"""

__version__ = "0.4.0"
__version__ = "0.4.1"

__all__ = ["structure", "discretiser", "evaluation", "inference", "network", "plots"]
2 changes: 0 additions & 2 deletions causalnex/discretiser/__init__.py
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``causalnex.discretiser`` provides functionality to discretise data.
"""

__version__ = "0.4.0"

__all__ = ["Discretiser"]

from .discretiser import Discretiser
2 changes: 0 additions & 2 deletions causalnex/evaluation/__init__.py
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``causalnex.evaluation`` provides functionality to evaluate causal models using standard metrics.
"""

__version__ = "0.4.0"

__all__ = ["roc_auc", "classification_report"]

from .evaluation import classification_report, roc_auc
2 changes: 0 additions & 2 deletions causalnex/inference/__init__.py
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``causalnex.inference`` provides functionality to make inferences based on interventions and observations.
"""

__version__ = "0.4.0"

__all__ = ["InferenceEngine"]

from .inference import InferenceEngine
2 changes: 0 additions & 2 deletions causalnex/network/__init__.py
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``causalnex.network`` provides functionality to learn joint probability distribution of networks.
"""

__version__ = "0.4.0"

__all__ = ["BayesianNetwork"]

from .network import BayesianNetwork
2 changes: 0 additions & 2 deletions causalnex/plots/__init__.py
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``causalnex.plots`` provides functionality to visualise structure models.
"""

__version__ = "0.4.0"

__all__ = ["plot_structure"]

from .plots import plot_structure
2 changes: 0 additions & 2 deletions causalnex/structure/__init__.py
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``causalnex.structure`` provides functionality to define or learn structure.
"""

__version__ = "0.4.0"

__all__ = ["StructureModel", "notears"]

from .structuremodel import StructureModel
2 changes: 1 addition & 1 deletion docs/source/api_docs/index.rst
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You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
.. image:: causalnex_banner.png
.. image:: https://raw.githubusercontent.com/quantumblacklabs/causalnex/master/docs/source/causalnex_banner.png
:alt: CausalNex logo
:class: causalnex-logo

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