René's URL Explorer Experiment


Title: Learning and Training - SPFlow 1.1.0

direct link

Domain: spflow.github.io

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Links:

Skip to contenthttps://spflow.github.io/api/learning.html#furo-main-content
SPFlow 1.1.0https://spflow.github.io/index.html
SPFlow 1.1.0 https://spflow.github.io/index.html
Getting Startedhttps://spflow.github.io/getting_started.html
Conceptshttps://spflow.github.io/concepts.html
Guideshttps://spflow.github.io/guides/index.html
User Guidehttps://spflow.github.io/guides/user_guide.html
Developer Guidehttps://spflow.github.io/guides/dev_guide.html
APC MNIST Training Examplehttps://spflow.github.io/guides/apc_mnist_guide.html
Using SPFlow with sklearnhttps://spflow.github.io/guides/sklearn.html
Paper Zoohttps://spflow.github.io/zoo/index.html
Autoencoding Probabilistic Circuits (APC)https://spflow.github.io/zoo/apc.html
Random and Tensorized Sum-Product Networks (RAT-SPN)https://spflow.github.io/zoo/rat_spn.html
Einsum Networks (Einet)https://spflow.github.io/zoo/einet.html
Hidden Chow-Liu Trees (HCLT)https://spflow.github.io/zoo/hclt.html
Convolutional Probabilistic Circuits (ConvPc)https://spflow.github.io/zoo/conv_pc.html
Continuous Mixtures (CMs)https://spflow.github.io/zoo/cms.html
Sum of Compatible Squares (SOCS)https://spflow.github.io/zoo/socs.html
Probabilistic Integral Circuits (PICs)https://spflow.github.io/zoo/pic.html
API Documentationhttps://spflow.github.io/api/index.html
Base Classeshttps://spflow.github.io/api/base_modules.html
Data Structureshttps://spflow.github.io/api/data.html
Module Shapehttps://spflow.github.io/api/module_shape.html
DSL (Example Construction)https://spflow.github.io/api/dsl.html
Sum Moduleshttps://spflow.github.io/api/sums.html
Product Moduleshttps://spflow.github.io/api/products.html
Convolutional Moduleshttps://spflow.github.io/api/conv.html
Leaf Moduleshttps://spflow.github.io/api/leaves.html
Operationshttps://spflow.github.io/api/operations.html
Learning and Traininghttps://spflow.github.io/api/learning.html
Scope Managementhttps://spflow.github.io/api/scope.html
Utilitieshttps://spflow.github.io/api/utilities.html
Measureshttps://spflow.github.io/api/measures.html
Wrapper Moduleshttps://spflow.github.io/api/wrappers.html
Interfaceshttps://spflow.github.io/api/interfaces.html
Exceptionshttps://spflow.github.io/api/exceptions.html
Frequently Asked Questionshttps://spflow.github.io/faq.html
Back to top https://spflow.github.io/api/learning.html
View this page https://spflow.github.io/_sources/api/learning.rst.txt
https://spflow.github.io/api/learning.html#learning-and-training
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ValueErrorhttps://docs.python.org/3/library/exceptions.html#ValueError
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https://spflow.github.io/api/learning.html#parameter-learning-em
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https://spflow.github.io/api/learning.html#socs-builder
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SOCShttps://spflow.github.io/zoo/socs.html#spflow.zoo.sos.SOCS
Next Scope Management https://spflow.github.io/api/scope.html
Previous Operations https://spflow.github.io/api/operations.html
Sphinxhttps://www.sphinx-doc.org/
@pradyunsghttps://pradyunsg.me
Furohttps://github.com/pradyunsg/furo
Learning and Traininghttps://spflow.github.io/api/learning.html
Structure Learninghttps://spflow.github.io/api/learning.html#structure-learning
learn_spn()https://spflow.github.io/api/learning.html#spflow.learn.learn_spn.learn_spn
learn_prometheus()https://spflow.github.io/api/learning.html#spflow.learn.prometheus.learn_prometheus
Parameter Learning: EMhttps://spflow.github.io/api/learning.html#parameter-learning-em
expectation_maximization()https://spflow.github.io/api/learning.html#spflow.learn.expectation_maximization.expectation_maximization
Parameter Learning: Gradient Descenthttps://spflow.github.io/api/learning.html#parameter-learning-gradient-descent
train_gradient_descent()https://spflow.github.io/api/learning.html#spflow.learn.gradient_descent.train_gradient_descent
SOCS Builderhttps://spflow.github.io/api/learning.html#socs-builder
build_socs()https://spflow.github.io/api/learning.html#spflow.learn.build_socs.build_socs

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