vincent-antaki

Feature: Conditional Hyperparameters

2

Sometimes the usage of a hyperparameters defined for a step within the pipeline depends on another hyperparameter. We should have a way to know if which hyperparameters are used by...

Feature: TrialMetricsPlottingObserver should support various plot functions for various metric type

1

**Is your feature request related to a problem? Please describe.** TrialMetricsPlottingObserver is a neat subscriber-listener interface designed to be used with a BaseHyperparamsRepository instance. However, it assumes that every metric...

Feature: Pipeline should implement ForceHandleMixin

1

I think the Pipeline class has been written before ForceHandleMixin was a thing. I believe inheritance of the class could make it way more simple than it is now.

Feature: Add Binomial distributions to hyperparams/distributions.py

9

I think it would be a neat addition to generate Discrete-value hyperparams. You could redefine Boolean (which should really be called Bernouilli in my opinion) to be Binomial(1,p). In the...

Feature: Have a mixin for log-based and exp-based distributions

1

It doesn't have to do anything, it would be useful, when designed fancy hyperparam research strategies, to know with a isinstance call if a distribution is log-based or exp-based. Alternatively,...

Feature: get_steps_by_class

1

Sometimes, I need to fetch all steps within a pipeline which are instances of a given class (e.g. some featurizer class which I use in multiple place). Usually, this happen...

Feature: add _HasApplyMixin and shared hyperparameters

6

**Is your feature request related to a problem? Please describe.** Sometime, we need multiple steps to share a hyperparameter. A simple example goes a little something like this : We...

Feature: Callback should have access to the pipeline?

1

As 0.5.8 version will be release, callbacks interface will now contain the ExecutionContext. This will allow them usage of the service, which will open up many possibilities (such as accessing...

Feature: handler functions should be the default fit/fit_transform/transform/predict

4

**Is your feature request related to a problem? Please describe.** ExecutionContext instances are an important piece of Neuraxle framework. They keep services, an execution stack and various information about the...

Feature: DataDescription object

1

**Is your feature request related to a problem? Please describe.** In certain applications, we may have mix-types data input (e,g, a mix of categorical and real data) which may even...