estimators

Estimators

 TensorFlow Guide

Advantages Similar to a tf.keras.Model , an estimator is a model-level abstraction. The tf.estimator provides some capabilities currently still under development for tf.keras . These are: Parameter se...

📚 Read more at TensorFlow Guide
🔎 Find similar documents

Premade Estimators

 TensorFlow Tutorials

Warning: Estimators are not recommended for new code. Estimators run v1.Session -style code which is more difficult to write correctly, and can behave unexpectedly, especially when combined with TF 2 ...

📚 Read more at TensorFlow Tutorials
🔎 Find similar documents

The Consistent Estimator

 Towards Data Science

A consistent estimator is one which produces a better and better estimate of whatever it is that it’s estimating, as the size of the data sample it is working upon goes on increasing.

📚 Read more at Towards Data Science
🔎 Find similar documents

Multi-worker training with Estimator

 TensorFlow Tutorials

Warning: Estimators are not recommended for new code. Estimators run v1.Session -style code which is more difficult to write correctly, and can behave unexpectedly, especially when combined with TF 2 ...

📚 Read more at TensorFlow Tutorials
🔎 Find similar documents

A Guide to Estimator Efficiency

 Towards Data Science

The efficiency of a statistical estimator is the ratio of the Cramer-Rao bound on variance to the actual variance in the estimator's predictions.

📚 Read more at Towards Data Science
🔎 Find similar documents

Build a linear model with Estimators

 TensorFlow Tutorials

Warning: Estimators are not recommended for new code. Estimators run v1.Session -style code which is more difficult to write correctly, and can behave unexpectedly, especially when combined with TF 2 ...

📚 Read more at TensorFlow Tutorials
🔎 Find similar documents

Estimate Smarter, not Harder

 Better Programming

One of the most difficult (and paradoxically time-consuming aspects) of a software developer’s job is estimation. When developers make estimates about their work it can affect the success of the…

📚 Read more at Better Programming
🔎 Find similar documents

Create an Estimator from a Keras model

 TensorFlow Tutorials

Warning: Estimators are not recommended for new code. Estimators run v1.Session -style code which is more difficult to write correctly, and can behave unexpectedly, especially when combined with TF 2 ...

📚 Read more at TensorFlow Tutorials
🔎 Find similar documents

Let’s talk about estimation.

 Level Up Coding

I struggled a lot with estimations in my two years as a developer. And I’m not the only one, most of my coworkers struggle with this too. I think it’s because nobody teaches you how to estimate when…

📚 Read more at Level Up Coding
🔎 Find similar documents

What’s Wrong With Your Estimates

 Better Programming

If you often fail your estimates — this is how to estimate the tasks quickly and accurately. Photo by Headway on Unsplash Every more or less significant project has its stakeholders. And the stakehol...

📚 Read more at Better Programming
🔎 Find similar documents

Chapter 8  Estimation

 Think Stats

The code for this chapter is in estimation.py . For information about downloading and working with this code, see Section 0.2 . 8.1 The estimation game Let’s play a game. I think of a distribution, an...

📚 Read more at Think Stats
🔎 Find similar documents

6.1. Pipelines and composite estimators

 Scikit-learn User Guide

Transformers are usually combined with classifiers, regressors or other estimators to build a composite estimator. The most common tool is a Pipeline. Pipeline is often used in combination with Fea......

📚 Read more at Scikit-learn User Guide
🔎 Find similar documents