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**This is a(n):**
- [x] New algorithm
- [ ] Update to an existing algorithm
- [ ] Error
- [ ] Proposal to the Repository
**Details:**
The task is to add code for **Logistic Regression** in…
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For your third assignment, you're going to build a mode to predict probability of survival.
I would *strongly* recommend doing this inside a Jupyter notebook and documenting your results as you go…
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I will add a Logistic Regression Algorithm (implemented in python). Please assign this to me.
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default methods to find linear combos of predictors in classification and regression trees
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While "good" and "bad" are useful classes for training, there's no real reason why we couldn't create additional classifications that are automatically categorized - e.g. "solvent peak" or "only in st…
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```
import org.apache.spark.ml.Pipeline
import org.apache.spark.ml.classification.LogisticRegression
import org.apache.spark.ml.evaluation.BinaryClassificationEvaluator
val d_train = spark.read.…
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```python
from dask_yarn import YarnCluster
from dask.distributed import Client
# Create a cluster where each worker has two cores and eight GiB of memory
cluster = YarnCluster(environment='s3:…
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Running LR over a large area and come up with the following message that appears to change the unit cell area defined for the analysis due to an area limit:
![error](https://user-images.githubusercon…
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I get warnings when summarizing my model fits. The warning appears to be related to the number of variables in the model and the length of the variable names. I give a minimal example with 3 long vari…
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Hi all,
I can not find the exact formulation of the objective function that is minimized in `LogisticRegression`. In particular, how exactly does `C` appear in the objective (e.g. if I want to do l…