Comments (2)
tc64
commented on September 4, 2024
I got the same error yesterday (10-30-2016)
Train on 16686 samples, validate on 1854 samples
Epoch 1/1
16686/16686 [==============================] - 24s - loss: 0.0000e+00 - val_loss: 0.0000e+00
2016-10-31 11:29:02 -- Epoch 2000 Loss = 0.0000, Validation Loss = 0.0000 (Best: Loss = 0.0000, Epoch = 1726)
----- test1 -----
[====================]Top-1 Precision: 1.000000
MRR: 1.000000
----- test2 -----
[====================]Top-1 Precision: 1.000000
MRR: 1.000000
----- dev -----
[====================]Top-1 Precision: 1.000000
MRR: 1.000000
Traceback (most recent call last):
File "insurance_qa_eval.py", line 262, in
top1, mrr = evaluator.get_score(verbose=False)
TypeError: 'NoneType' object is not iterable
from keras-language-modeling.
nigeljyng
commented on September 4, 2024
I ran into the same issue as well and I just found the problem. Evaluator.get_score() does not return anything, but the script tries to assign variables when calling that function: top1, mrr = evaluator.get_score(verbose=False) https://github.com/codekansas/keras-language-modeling/blob/master/insurance_qa_eval.py#L262
It's an easy fix. Will submit a pull request.
from keras-language-modeling.
Related Issues (20)
- Exception: Layer lambda_1 does not support masking, but was passed an input_mask: Elemwise{neq,no_inplace}.0 HOT 2
- _pickle.UnpicklingError: the STRING opcode argument must be quoted HOT 1
- Complaint about no shape when using models saved from Genism
- The incorporation of attention in attention_lstm.py
- incorrect predicted output shape
- train ConvolutionModel model,it seems failed HOT 1
- how to train it in an incremental way?
- Sigmoid in AttentionLSTM
- Sample example code in your blog not working and giving TypeError: Cannot convert Type TensorType? HOT 5
- Trainable weights in AttentionLSTMWrapper
- Training loss and validation loss are too low HOT 2
- Example script for AttentionLSTM HOT 2
- How can I get attention weight from attention model?
- What is the configuration for the results in results.notes?
- Keras 2 compatibility HOT 1
- What is single_attention_param? HOT 1
- Blog is unavialable HOT 1
- Not able to replicate results with Embedding + maxpooling
- Blog post not opening
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from keras-language-modeling.