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It's super easy to create dimension axes that have vector lookups:
```julia-repl
julia> using CairoMakie, DimensionalData
julia> points = Point2f.(1, 1:10)
10-element Vector{Point{2, Float32}}:
…
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#### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame.from_dict({'reg': [0,1,2], 'cat':pd.Categorical(['a','b','b'], categories=['a','b','c','d']…
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This is a real world test/use for Model 1. The HIRM paper ran on this data, but with the continuous variables thresholded at their means and one-of-n coding for the categorical variables. We should …
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Take this example:
```
a = DataFrame(a =["a","b","c"], b=[1,2,3])
b = ["a","a","b"]
Xover, yover = random_oversample(a, b)
```
This fails because ` ScientificTypes.schema(X).scitypes` fai…
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## Description
Will it work for categorical data?
(A clear and concise description of what the feature is.)
- If the proposal is about a new model, provide description of what t…
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Hi,
I try to use recombat to correct for batch effects in my dataset and set X and C accordingly with keeping all the wanted variation in X and all the unwanted in C. However, my unwanted variation…
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will your code work for categorical data?
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is it working for with categorical data ?
do you have example
or maybe categorical values data should be transformed to one hot data and then
data may be considered as continues data?
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I am working with Bayesian Optimization. Before using it to guide the selection process of my real-world wet-lab chemical experiments where I'll have much more flexibility, I want to evaluate its effe…
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The below table gives an overview of the result value for:
```
missing_value in idx
```
i.e. how `Index.__contains__` handles various missing value sentinels as input for the different data ty…