Estimators
Estimators
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...
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Premade Estimators
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 ...
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The Consistent Estimator
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.
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Multi-worker training with Estimator
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 ...
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A Guide to Estimator Efficiency
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.
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Build a linear model with Estimators
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 ...
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Chapter 8 Estimation
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...
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Estimates Are Estimates!
A lesson learned as a Scrum coach Continue reading on Better Programming
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6.1. Pipelines and composite estimators
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......
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Estimate Smarter, not Harder
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…
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Regression Model Using TensorFlow Estimators and Dense Neural Network
Tensorflow Estimators — it provides a high-level abstraction over lower-level Tensorflow core operations. It works with an Estimator instance, which is TensorFlow’s high-level representation of a…
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Painless Estimation For Developers
Estimates are a pain. How often have you done estimates, only to have them dismissed with, “You have 3 weeks”? I will show you a path out of this misery. The aim of this article is to provide a…
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