Oege Dijk

so something similar to ``` ipython_kernel = str(get_ipython()) self.is_notebook = True self.is_colab = True if 'google.colab' in ipython_kernel else False ```

@absynthe I've been toying around with sagemaker studio today, but so far haven't been able to get the dash to run, do you have a guide or HOWTO?

Hi @shyam-bayer, my guess is due the fact that PLSRegression does not return a single prediction but can return multiple components. This means that model.predict(X_test) will return a two-dimensional numpy...

this seems to fix it, at least as long the PLSRegressor has a single component: https://github.com/oegedijk/explainerdashboard/commit/3f4a9a0e8f1e63dd0f0ef829f1f0fd0ad357aa6d

so should be in the next release

I have another reproducible example (using the skorch wrapper): ```python import numpy as np import pandas as pd from sklearn.datasets import make_classification, make_regression import torch from torch import nn from...

> > In v 0.0.1a4 there's now another issue when running it: > > ``` > > .venv\Lib\site-packages\markitdown\_markitdown.py", line 1727, in _convert > > if res is not None: >...

yes, create_iterable works (as indicated), just not the create with Iterable...

@DavidNemeskey for most usecases you can use Literals instead of Enums. (also enums get defined at a different place in the json schema, so literals probably result in more reliable...

guess the issue is that Decimal renders to json schema ```json {'properties': {'total': {'anyOf': [{'type': 'number'}, {'type': 'string'}], 'title': 'Total'}}, 'required': ['total'], 'title': 'Receipt', 'type': 'object'} ``` which then gets...