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Update all remaining references from mambular to deeptabular
- Update docs: installation.md, conf.py, release.md, API docs - Update examples: classification, regression, distributional - Update tests: test_base.py module paths - Update GitHub: workflows and issue templates - Update all import statements and module references
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.github/ISSUE_TEMPLATE/bug_report.md

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**Desktop (please complete the following information):**
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- OS: [e.g. Ubuntu]
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- Python version [e.g. 3.8]
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- Mambular Version [e.g. 0.1.2]
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- DeepTabular Version [e.g. 1.6.0]
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**Additional context**
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Add any other context about the problem here.

.github/workflows/pr-tests.yml

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- name: Install Package Locally
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run: |
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poetry build
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pip install dist/*.whl # Install the built package to fix "No module named 'mambular'"
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pip install dist/*.whl # Install the built package to fix "No module named 'deeptabular'"
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- name: Run Unit Tests
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env:

docs/api/base_models/BaseModels.rst

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mambular.base_models
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====================
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deeptabular.base_models
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=======================
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.. autoclass:: mambular.base_models.BaseModel
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.. autoclass:: deeptabular.base_models.BaseModel
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:members:
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:no-inherited-members:
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.. autoclass:: mambular.base_models.TaskModel
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.. autoclass:: deeptabular.base_models.TaskModel
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:members:
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:no-inherited-members:
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.. autoclass:: mambular.base_models.Mambular
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.. autoclass:: deeptabular.base_models.Mambular
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:members:
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:no-inherited-members:
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.. autoclass:: mambular.base_models.MLP
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.. autoclass:: deeptabular.base_models.MLP
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:members:
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:no-inherited-members:
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.. autoclass:: mambular.base_models.ResNet
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.. autoclass:: deeptabular.base_models.ResNet
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:members:
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:no-inherited-members:
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.. autoclass:: mambular.base_models.FTTransformer
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.. autoclass:: deeptabular.base_models.FTTransformer
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:members:
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:no-inherited-members:
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.. autoclass:: mambular.base_models.TabTransformer
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.. autoclass:: deeptabular.base_models.TabTransformer
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:members:
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:no-inherited-members:
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.. autoclass:: mambular.base_models.TabulaRNN
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.. autoclass:: deeptabular.base_models.TabulaRNN
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:members:
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:no-inherited-members:
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docs/api/configs/index.rst

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.. -*- mode: rst -*-
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.. currentmodule:: mambular.configs
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.. currentmodule:: deeptabular.configs
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Configurations
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==============
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This module provides default configurations for Mambular models. Each configuration is implemented as a dataclass, offering a structured way to define model-specific hyperparameters.
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This module provides default configurations for DeepTabular models. Each configuration is implemented as a dataclass, offering a structured way to define model-specific hyperparameters.
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Mambular
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--------

docs/api/data_utils/Datautils.rst

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mambular.data_utils
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===================
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deeptabular.data_utils
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======================
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.. autoclass:: mambular.data_utils.MambularDataset
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.. autoclass:: deeptabular.data_utils.MambularDataset
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:members:
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.. autoclass:: mambular.data_utils.MambularDataModule
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.. autoclass:: deeptabular.data_utils.MambularDataModule
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:members:

docs/api/data_utils/index.rst

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.. -*- mode: rst -*-
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.. currentmodule:: mambular.data_utils
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.. currentmodule:: deeptabular.data_utils
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Data Utils
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==========

docs/conf.py

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sys.path.insert(0, os.path.abspath("."))
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sys.path.insert(0, os.path.abspath("../"))
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sys.path.insert(1, os.path.dirname(os.path.abspath("../")) + os.sep + "mambular")
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sys.path.insert(1, os.path.dirname(os.path.abspath("../")) + os.sep + "deeptabular")
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project = "mambular"
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project = "deeptabular"
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project_copyright = "2024, BASF SE"
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author = "Anton Frederik Thielmann, Manish Kumar, Christoph Weisser, Benjamin Saefken, Soheila Samiee"
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VERSION_PATH = "../mambular/__version__.py"
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VERSION_PATH = "../deeptabular/__version__.py"
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with open(VERSION_PATH) as f:
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lines = f.readlines()
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for line in lines:

docs/examples/classification.md

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# Classification
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This example demonstrates how use Classification module from the `mambular` package.
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This example demonstrates how use Classification module from the `deeptabular` package.
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```python
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import numpy as np
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import pandas as pd
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from sklearn.model_selection import train_test_split
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from mambular.models import MambularClassifier
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from deeptabular.models import MambularClassifier
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# Set random seed for reproducibility
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np.random.seed(0)
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```

docs/examples/distributional.rst

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Distributional
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==============
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This example demonstrates how use Distributional from the `mambular` package.
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This example demonstrates how use Distributional from the `deeptabular` package.
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.. literalinclude:: ../../examples/example_distributional.py

docs/examples/regression.rst

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Regression
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==========
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This example demonstrates how use Regression module from the `mambular` package.
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This example demonstrates how use Regression module from the `deeptabular` package.
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.. literalinclude:: ../../examples/example_regression.py

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