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Results tagged with encoding
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user 80221
Encoding in machine learning and data science refers to the process by which non-numeric data is transformed into a numeric representation that can be fed into machine learning algorithms.
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Do I need to encode samples during inference?
I recently started saving (pickling) my fitted encoders. The thinking was that I would need them to encode previously unseen samples during inference.
Encode training features and labels.
Train model …
- 539
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Cleaning NaNs with averages pre or post split? [duplicate]
I have a column with some NaNs in it and I want to replace those NaNs with the average/median/mode.
Technically, the validation/ test data has never been seen before - so how could I include it in the …
- 539
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Preprocess multi-sample time series data: encode each sample separately or in aggregate?
This also means less encoders to keep track of for the sake of inverse transform and inference encoding. …
- 539
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1
answer
42
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Preprocess multi-sample time series data: encode each sample separately or in aggregate?
Let's say I have 3 dense sequences of uniform length. Should I fit a scaler on them separately or together?
import numpy as np
from sklearn.preprocessing import StandardScaler
arr = np.array([
[
…
- 539