FTRL | R/Rcpp implementation of the 'Follow-the-Regularized-Leader | Machine Learning library
kandi X-RAY | FTRL Summary
kandi X-RAY | FTRL Summary
R package which implements Follow the proximally-regularized leader algorithm. It allows to solve very large problems with stochastic gradient descend online learning. See Ad Click Prediction: a View from the Trenches for example.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of FTRL
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QUESTION
The Problem
My code works locally, but I am not able to get any evaluation data or exports from my TensorFlow estimator when submitting online training jobs after having upgraded to TensorFlow 2.1. Here's the bulk of my code:
...ANSWER
Answered 2020-Jun-12 at 23:16Found the answer...
Based on documentation about the TF_CONFIG environment variable...
master is a deprecated task type in TensorFlow. master represented a task that performed a similar role as chief but also acted as an evaluator in some configurations. TensorFlow 2 does not support TF_CONFIG environment variables that contain a master task.
So previously we were using TF 1.X, which used a master worker. But, master has been deprecated when training TF 2.X jobs. Now the default is chief, but chief by default does not act as an evaluator. In order to get evaluation data, we needed to update our config yaml to explicitly allocate an evaluator.
https://cloud.google.com/ai-platform/training/docs/distributed-training-details#tf-config-format
We updated our config.yaml with evaluatorType and evaluatorCount
QUESTION
im new to machine learning and i am trying to follow this tutorial to get a grasp :
https://www.tensorflow.org/tutorials/estimator/boosted_trees
...ANSWER
Answered 2020-Jan-04 at 04:57I was able to reproduce the correct results from TF's Boosted_Trees Estimator example as follows (without any modifications to their code):
I guess you might be getting error mainly because of an incorrect version of TensorFlow (or other dependencies) installed.
Check the version of tensorflow you're using by running tf.__version__ in the terminal after importing it.
Hope this helps!
QUESTION
I am trying to train my program using the Momentum optimizer but when I input "momentum" as the optimizer, it gives me this error:
...ANSWER
Answered 2019-Nov-24 at 23:00Tensorflow has no plain "momentum" optimizer: tensorflow.org/api_docs/python/tf/optimizers in TensorFlow. Though Tutorialpoints references to it.
Nevertheless it has MomentumOptimizer() class.
So you should first define a MomentumOptimizer() class instance, then you can pass through as parameter to the compile() method.
Note: lr(learning rate) and m(momentum) parameters need to be defined by you.
QUESTION
I am a newbie of TensorFlow in Go.
There are some doubts during my first traing demo. I just find one optimizer in Go's wrappers.go.
But i learn the demos of python,they has serveral optimizers. Like
...ANSWER
Answered 2017-Sep-16 at 08:33You can't train a Tensorflow model using Go.
The only thing you can do is load a pre-trained model and use it for the inference.
You can't because the Go implementation lacks the Variable support, therefore it's impossible to train anything at the moment.
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