Questions tagged [ludwig]

The [ludwig] tag is used for questions concerning the open source toolbox built on top of TensorFlow to train and test deep learning models.

General
A new data type-based approach to deep learning model design that makes the tool suited for many different applications.

Flexible
Experienced users have deep control over model building and training, while newcomers will find it easy to use.

Extensible
Easy to add new model architecture and new feature data-types.

Understandable
Deep learning models internals are often considered black boxes, but we provide standard visualizations to understand their performances and compare their predictions.

Easy
No coding skills are required to train a model and use it for obtaining predictions.

Open
Ludwig is released under the open source Apache License 2.0.

21 questions
27
votes
3 answers

TensorFlow 2.1.0: has no attribute 'random_normal'

I'm trying to get Uber's Ludwig to run. I get an error about there being no attribute 'random_normal'. I can reproduce the error in Python with these commands. >>> import tensorflow as tf >>> tf.reduce_sum(tf.random_normal([1000,1000])) Traceback…
Sol
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3
votes
1 answer

Uber Ludwig Toolbox: export generated model to Google platform ML Engine

In Uber Ludwig toolbox the training from the scratch produced the following 10…
2
votes
0 answers

TensorFlow typechecking error in ludwig training

I am getting this issue in Ludwig training from TensorFlow. C:\Users\FRT\Desktop\workspace\pipeline-builder-ide\python\python37\lib\site- packages\typeguard__init.py:906: UserWarning: no type annotations present -- not typechecking…
shahid hamdam
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2
votes
1 answer

While trying to install virtualenv on server without sudo rights I got: `TypeError: unsupported operand type(s) for -=: 'Retry' and 'int'`

I want to install ludwig from uber from source on a gpu server I got access to. I don't have admin rights there. The steps I use are documented in the getting started steps from ludwig: git clone https://github.com/uber/ludwig.git cd ludwig git…
JtheB
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1
vote
2 answers

How to visualize ludwig library models learning curves programatically?

I am using Uber's ludwig library to train neural network models. I want to programatically (via python code, using the documentation's example) visualize the learning curves of my models to analyze their performance using the following code: import…
Galo Castillo
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1
vote
1 answer

Running Ludwig on AML Compute: docker image failing to build on gmpy

I'm currently trying to create a TensorFlow estimator to run Ludwig's training model on Azure ML Compute with various pip and conda packages like so: estimator= TensorFlow(source_directory= project_folder, compute_target=compute_target,…
dedimi
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1
vote
1 answer

Has anyone encountered the same Error while installing ludwig on colab?

I'm getting the below error while installing ludwig on colab. Tried a few things but not able to resolve this. ERROR: Command "/usr/bin/python3 -u -c 'import setuptools,…
1
vote
0 answers

Ludwig when to use SET feature, SEQUENCE feature, examples data for both

How to determine when to use Set Features vs Sequence Features on a column and difference between them with some examples. I'm trying to use Ludwig to perform classification. My dataset looks something like below: Letters here are just for…
1
vote
1 answer

Issue Training Model From Images in Uber Ludwig

When executing my training python script, the following is returned. Traceback (most recent call last): File "train.py", line 14, in train_stats = model.train(data_csv="./dataset.csv") File…
1
vote
1 answer

Ludwig preprocessing

I'm running a model with Ludwig. Dataset is Adult Census: Features workclass has almost 70% instances of Private, the Unknown (?) can be imputed with this value. native_country, 90% of the instances are United States which can be used to impute for…
gogasca
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0
votes
0 answers

Error when using Ludwig: ValueError: Unexpected keyword arguments: `confidence_penalty`, `positive_class_weight`, `robust_lambda`

When I use the Ludwig package to build a tabular type classification, the error is happened as following. ValueError: Unexpected keyword arguments: confidence_penalty, positive_class_weight, robust_lambda The detailed informtion: ludwig 0.7.4 How…
0
votes
1 answer

Not able to run Ludwig commands in terminal, and in Python also as it is saying no module installed named Ludwig

When is run "ludwig --version", it shows me the version of Ludwig installed without any errors, but when I try Ludwig train command it is showing me the error. The error which I got after running "ludwig train --config rotten_tomatoes.yaml --dataset…
Harshul Nanda
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0
votes
0 answers

Splitting training and testing data

I have a dataset of around 15,500 rows. The data set consist of two columns: text column (independent variable) and output (dependent variable). Output has binary values (i.e. 0 and 1). Around 9500 rows have a value for Output columns (i.e. I can…
user2293224
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0
votes
2 answers

Could not find a version that satisfies the requirement tensorflow==1.15.3 (from ludwig)

So i am aiming to install Ludwig for experimentation but i didn't found any solution on the internet to this issue enter image description here screenshot of the error message i am using windows subsytem for linux (debian)
0
votes
1 answer

What framework should I use to multi-label classification with thousands of labels

I'm working now on multi-label classification service and currently I have prepared training dataset. The problem is that current training dataset has a lot of different labels (around 80 000). At first I tried BERT from Google through…
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