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Restore some integration tests for BetaML. #1184

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Merged
ablaom merged 5 commits into from
Oct 28, 2025
Merged

Restore some integration tests for BetaML. #1184

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c3ef6b1
restore some integration tests for BetaML
ablaom Oct 16, 2025
7b9107b
Update readme for "Using MLJ" with timings
ablaom Oct 23, 2025
b535532
flag some failing integration tests and remove them
ablaom Oct 28, 2025
2611367
rm more BetaML models from integrations tests
ablaom Oct 28, 2025
ec2a62b
whitespace
ablaom Oct 28, 2025
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42 changes: 42 additions & 0 deletions examples/using_mlj/README.md
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Expand Up @@ -2,6 +2,48 @@

[Videos]() on using the MLJ software.

### Video timings

#### MLJ. Lesson 1

- 00:00 Introduction
- 01:05 Goals
- 01:48 Prerequisites and Getting Help
- 02:21 Supervised Learning Recap
- 05:31 Models and Machines
- 09:28 Live Coding: Regression
- 28:55 Scientific Types
- 32:29 Live Coding: Scitypes and Classification
- 55:45 End

#### Using MLJ. Lesson 2: Model Composition

- 00:00 Introduction
- 00:08 Goals
- 01:19 Prerequisites and Getting Help
- 02:00 Composite Models Defined
- 04:13 Model Pipelines
- 05:59 Data Leakage
- 08:37 Target Transformations
- 12:43 Live Coding: Pipelines
- 18:42 Live Coding: Target Transformations
- 20:35 Other Model Wrappers
- 25:02 End

#### Using MLJ. Lesson 3: Tuning Models

- 00:00 Introduction
- 00:06 Goals
- 01:12 Prerequisites and Getting Help
- 01:27 Live Coding: Learning Curves
- 13:27 Tuning as Model Wrapper
- 18:45 Live Coding: Grid Search
- 26:17 Live Coding: Random Search
- 30:48 Nested Resampling
- 33:11 Final Observations
- 36:59 End


## Resources

- All things MLJ: [juliaml.ai](https://juliaml.ai)
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15 changes: 7 additions & 8 deletions test/integration.jl
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@@ -1,4 +1,4 @@
using MLJTestIntegration, MLJModels, MLJ, Test, Markdown
using MLJTestIntegration, MLJModels, MLJ, Test, Markdown
import MLJTestIntegration as MTI
import Pkg.TOML as TOML
using Suppressor
Expand Down Expand Up @@ -34,13 +34,6 @@ FILTER_GIVEN_ISSUE = Dict(
model.package_name == "OutlierDetectionNeighbors") ||
(model.name == "TSVDTransformer" &&
model.package_name == "TSVD"),
"https://github.com/sylvaticus/BetaML.jl/issues/79" =>
model -> model.name in [
"KernelPerceptronClassifier",
"PegasosClassifier",
"PerceptronClassifier",
] &&
model.package_name == "BetaML",
"https://github.com/sylvaticus/BetaML.jl/issues/65" =>
model -> model.name in ["KMeans", "KMedoids"] &&
model.package_name == "BetaML",
Expand All @@ -59,6 +52,12 @@ FILTER_GIVEN_ISSUE = Dict(
"https://github.com/sylvaticus/BetaML.jl/issues/75" =>
model -> model.package_name == "BetaML" &&
model.name == "NeuralNetworkClassifier",
"https://github.com/sylvaticus/BetaML.jl/issues/80" =>
model -> model.package_name == "BetaML" &&
model.name in ["PegasosClassifier", "PerceptronClassifier"],
"https://github.com/sylvaticus/BetaML.jl/issues/81" =>
model -> model.package_name == "BetaML" &&
model.name in ["RandomForestClassifier", "RandomForestRegressor"],
"https://github.com/JuliaAI/MLJTransforms.jl/issues/42" =>
model -> model.package_name == "MLJTransforms" &&
model.name in [
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