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Hello! I have a PMML model trained with scikit-learn and extracted to PMML with sklearn2pmml. For some reason, the model is scoring differently between Python/jpmml and pmml4s:
Python …
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I am creating my XGBoost Model using code:
```python
xgb = XGBClassifier(objective = 'binary:logistic',
booster = 'gbtree',
learning_rate = 0.1,
…
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Has anyone been able to use a transformation PMML (normalization to be specific) in pyPMML?
I can get the model to load into python just fine and I can print out the input fields, but if I try to …
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I can save a model to s3 but can't load it with the following:
```
from pyspark.ml import PipelineModel
model.save("s3://activemapper/test.model")
model_load = PipelineModel.load("s3://activemap…
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Hi,
in PMML 4.4, one can define categorical values as "valid" by adding the corresponding property to the value element: http://dmg.org/pmml/v4-4/DataDictionary.html#xsdElement_Value
For categor…
wf-r updated
7 months ago
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I'm going to keep this brief because I'm not sure what the best things for you to look at are, but I promise to respond quickly to your requests.
I've built an XGBoost model and created a PMMLPipel…
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Hi,
We're attempting to convert a SparkML Pipeline of `[SQLTransformer(simple string replacement for empty/null strings), StringIndexer, OneHotEncoder, VectorAssember, Sparse2Dense, xgboost classif…
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## Training and exporting in Python
I am training a LightGBM model via its `scikit-learn` interface `lightgbm.LGBMClassifier` and then trying to export the model into PMML using `sklearn2pmml`. Thi…
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I am the lead author of JPype. As part of updating the documentation of JPype, I added PyJnius to the list of alternative codes to JPype. Unfortunately after two hours of playing around with PyJniu…
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**Our Setup**
We are running inference on a few thousand samples at a time in a kotlin microservice with jpmml.
There are about 7-8 input features of numeric type.
Target variable is a probability …