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#46 update examples #49

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Sep 11, 2024
Merged

#46 update examples #49

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5ef524f
#46 update grasshopper files
funkchaser Sep 10, 2024
40378be
#46 minor refinement of documentation and instructions
funkchaser Sep 10, 2024
863bdb1
#46 ..
funkchaser Sep 10, 2024
ac271ed
#46 linter
funkchaser Sep 11, 2024
e82f3a8
Merge branch 'main' into 46-update-examples
funkchaser Sep 11, 2024
9f687a8
Update CHANGELOG.md
funkchaser Sep 11, 2024
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1 change: 1 addition & 0 deletions CHANGELOG.md
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Expand Up @@ -10,6 +10,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
### Added

### Changed
* Updated examples & documentation
* Fixed domain init in DataInt
* Changed output options in Plot components.
* Fixed Windows install script trying to install from offline wheels.
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24 changes: 12 additions & 12 deletions docs/documentation.rst
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Expand Up @@ -15,7 +15,7 @@ DataBool
:height: 24
:width: 24

Defines a boolean variable.
Defines a boolean variable (`True` or `False`).


**Inputs**
Expand All @@ -34,7 +34,7 @@ DataCategorical
:height: 24
:width: 24

Defines a categorical variable.
Defines a categorical variable (for example, represening labels or classes).


**Inputs**
Expand Down Expand Up @@ -128,8 +128,8 @@ DatasetGenerator
:height: 24
:width: 24

Provides instructions on how to generate random samples for the dataset.

Provides instructions on how to generate random samples for the dataset by harnessing the parametric model found in the current Grasshopper file.
See Tutorial for more information on how to prepare the inputs and outputs of the parametric model.

**Outputs**

Expand Down Expand Up @@ -161,7 +161,7 @@ DatasetOneSample
:width: 24

Retrieves one sample from the dataset (at a given or random index) and instantiates it in the parametric model.

Requires a dataset to be loaded.

**Inputs**

Expand All @@ -180,7 +180,7 @@ DatasetSummary
:width: 24

Provides a summary of the dataset.

Requires a dataset to be loaded.

**Inputs**

Expand All @@ -198,7 +198,7 @@ Generator
:width: 24

Runs a generation campaing to create new designs using the trained model.

Requires a dataset and a trained model to be loaded.

**Inputs**

Expand All @@ -221,7 +221,7 @@ ModelDimensions
:width: 24

Retrieves dimensions of the model's input and output layers.

Requires that a model has been set up or loaded.

**Inputs**

Expand All @@ -239,7 +239,7 @@ ModelLoad
:width: 24

Loads an existing, pre-traind neural network model from a checkpoint.

Requires a dataset to be loaded.

**Inputs**

Expand All @@ -260,7 +260,7 @@ ModelSetup
:width: 24

Sets up an autoencoder model of the specified type with the given parameters.

Requires a dataset to be loaded.

**Inputs**

Expand All @@ -285,7 +285,7 @@ ModelSummary
:width: 24

Provides a summary of the autoencoder model's architecture.

Requires that a model has been set up or loaded.

**Inputs**

Expand All @@ -304,7 +304,7 @@ ModelTrain
:width: 24

Runs a training campaign.

Requires that a model has been set up (to train from scratch) or loaded (to continue training).

**Inputs**

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