MIDASpy

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Impute new data using trained model.

3

Looking at the codebase I could not locate a function where the trained model could be used to impute new data after training the model. There seems to be a...

mabdelhack

Running MIDAS using VAE leads to deprecation warning re. tf.compat.v1.distributions. E.g. ``` >>> tf.compat.v1.distributions.Normal() WARNING:tensorflow:From :1: Normal.__init__ (from tensorflow.python.ops.distributions.normal) is deprecated and will be removed after 2019-01-01. Instructions for updating:...

tsrobinson

MIDASpy is currently implemented using logic of TF1 and compatibility layers. As TF2 matures and more graph-based features become deprecated (see e.g. #21), we will need to plan for larger...

tsrobinson

In very large datasets (~30,000 samples x 1,000,000 features) with complex relationships (e.g. cancer omics data), the runtime for MIDAS can take a very long time (days?), even on a...

neuro30

Error with multiple GPUs: Do not use tf.reset_default_graph() to clear nested graphs

1

I am trying to utilize two GPUs with MIDASpy. However, I get the following error during set-up: ``` from sklearn.preprocessing import MinMaxScaler import numpy as np import pandas as pd...

neuro30

values not imputed

3

I'm essentially running the [demo code](https://github.com/MIDASverse/MIDASpy/blob/master/Examples/midas_demo.ipynb), but with my own input data (all numeric data), and the data frames generated by `imputer.generate_samples(m=10).output_list` still have the same missing values as in...

nick-youngblut

Support for python 3.9?

1

Are there any plans of supporting python 3.9? I would really appreciate it.

GuillemGSubies

Minimum and maximum value arguments (constraints)

15

I'm working with Dirichlet distributions and the compositional data simplex, and am really enjoying MIDASpy's flexibility when dealing with this data (related to K-L divergence in the decoder). However, there...

ThirstyGeo

Scikit-learn interface

1

It's usual for imputation or data pre-processing packages in python to support the scikit-learn interface. The interface allows the library to be used in data pipelines and existing scikit-learn infrastructures....

kaiserdan

Compatibility with compositional data

1

Sometimes we know that a set of variables should add up to a given total. Measurements involving proportions, percentages, probabilities, concentrations are compositional data. These data occur often in household...

ThirstyGeo