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# Disjoint
## Categorical
1. Materialize
2. Index
3. Either Cast to bool or Clamp strings
4. Count (takes in categorical data, which is by construction disjoint)
5. Mechanism
## Continuous
1…
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If the provided table has categorical data column, without order information of category values.
if there is a numerical data column that has a correlation that categorical data.
The categorical dat…
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## 🐞Describing the bug
I am encountering persistent issues while trying to create an updatable neural network model in Core ML using the coremltools library. My goal is to develop a model that suppor…
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_Using Evidently 0.4.0 on Databricks runtime 10.4_
_Looking at outputs for ColumnSummaryMetric and ColumnDriftMetric_
When generating results plots for categorical data, the labels on the x-axis a…
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The [documentation ](https://interpret-community.readthedocs.io/en/latest/api_reference/interpret_community.mimic.mimic_explainer.html)suggests that the sklearn `OneHotEncoder` should be a viable tran…
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Hi,
I already asked this question on stackoverflow, but didn't get any responses. So I'll try here:
I am trying to develop a transformer sequence to vector model but encounter performance issues. I …
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I have a timeseries data that I have to fit a classifier, I would like to re-train it every month with new data coming in. I would like to keep some consistency, so I prefer to pre_warm the tree with …
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### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
binary
### TensorFlow version
2.17.0
### Custom code
Yes
### OS platform and dis…
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Hey I am using some of this code and using it for a project I am carrying out. when I get to the code below I keep getting the error **ValueError: Shape of passed values is (11850, 76), indices imply…
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#### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd
>>> c = pd.Categorical(list('abcabc'))
>>> c
[a, b, c, a, b, c]
Categories (3, object): [a, b, c]
>>> p…