tabular-data

Thank you for reaching out and helping us improve Vaex!

Before you submit a new Issue, please read through the documentation. Also, make sure you search through the Open and Closed Issues - your problem may already be discussed or addressed.

Description
Please provide a clear and concise description of the problem. This should contain all the steps nee

When running TabularPredictor.fit(), I encounter a BrokenPipeError for some reason.
What is causing this?
Could it be due to OOM error?

Fitting model: XGBoost ...
-34.1179 = Validation root_mean_squared_error score
10.58s = Training runtime
0.03s = Validation runtime
Fitting model: NeuralNetMXNet ...
-34.2849 = Validation root_mean_squared_error score
43.63s =

🚀 Feature

To do classification you might sometimes only have numerical fields. Today the closest you can do is with tabular classification. However it does expect to have categorical fields.

~/conda/lib/python3.8/site-packages/numpy/core/shape_base.py in stack(arrays, axis, out)
    421     arrays = [asanyarray(arr) for arr in arrays]
    422     if not arrays:
--> 423         raise

For the below example csv the decimals are not centered with each-other. The desired alignment is shown in the last image.

cat align_dec.csv

value
12345.
1234.5
123.45
12.345
1.2345
.12345

The following results are incorrect:

We should see the following:

tf.keras.Sequential is an instance of tf.keras.Model so could be left out across types in alibi-detect.