train

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

train has 33 facts recorded in Dontopedia across 3 references, with 3 live disagreements.

33 facts·20 predicates·3 sources·3 in dispute

Mostly:has parameter(10), rdf:type(3), used with(1)

Has Parameterin dispute`hasParameter`

model^[2]sourceall time · Bd88fada 39be 4f23 92a8 Bcf3186013bd
device^[2]sourceall time · Bd88fada 39be 4f23 92a8 Bcf3186013bd
loader^[2]sourceall time · Bd88fada 39be 4f23 92a8 Bcf3186013bd
optimizer^[2]sourceall time · Bd88fada 39be 4f23 92a8 Bcf3186013bd
model^[3]sourceall time · 25baff9e 41da 45c5 B4cd 7ddac9cf5c32
device^[3]sourceall time · 25baff9e 41da 45c5 B4cd 7ddac9cf5c32
loader^[3]sourceall time · 25baff9e 41da 45c5 B4cd 7ddac9cf5c32
optimizer^[3]sourceall time · 25baff9e 41da 45c5 B4cd 7ddac9cf5c32
epoch^[3]sourceall time · 25baff9e 41da 45c5 B4cd 7ddac9cf5c32
scaler^[3]sourceall time · 25baff9e 41da 45c5 B4cd 7ddac9cf5c32

Inbound mentions (11)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`passedTo`Passed to(4)

Deviceex:device
Epochex:epoch
Modelex:model
Scalerex:scaler

`calls`Calls(1)

Training Loopex:training-loop

`createdBy`Created by(1)

Model Caretex:model-caret

`executes`Executes(1)

Training Loopex:training-loop

`invokes`Invokes(1)

Training Loopex:training-loop

`isUsedIn`Is Used in(1)

Cross Entropy Lossex:CrossEntropyLoss

`provides`Provides(1)

Caret Libraryex:caret-library

`uses`Uses(1)

Caret Glm Approachex:caret-glm-approach

Other facts (21)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

21 facts

Predicate	Value	Ref
Rdf:type	R Function	[1]
Rdf:type	Python Function	[2]
Rdf:type	Training Function	[3]
Used With	Caret Library	[1]
Used to Fit	Glm Poisson Model	[1]
Has Argument	Tr Control Argument	[1]
Has Method Parameter	Glm Method	[1]
Has Family Parameter	Poisson Family	[1]
Uses Loss Function	CrossEntropyLoss	[2]
Performs Backpropagation	true	[2]
Updates Optimizer	true	[2]
Resets Gradients	true	[2]
Calculates Total Loss	true	[2]
Prints Epoch Loss	true	[2]
Iterates Over	loader	[2]
Uses Enumerate	true	[2]
Contains Loop	for batch_idx	[2]
Uses Enumerate Function	enumerate	[2]
Initializes	total_loss=0	[2]
Sets Model to	train mode	[2]
Called by	Training Loop	[3]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

33 undated

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typebeam/3c955c5b-dc92-419e-963f-ddaade6afc31

ex:RFunction

—

labelbeam/3c955c5b-dc92-419e-963f-ddaade6afc31

train function

—

usedWithbeam/3c955c5b-dc92-419e-963f-ddaade6afc31

ex:caret-library

—

usedToFitbeam/3c955c5b-dc92-419e-963f-ddaade6afc31

ex:glm-poisson-model

—

hasArgumentbeam/3c955c5b-dc92-419e-963f-ddaade6afc31

ex:trControl-argument

—

hasMethodParameterbeam/3c955c5b-dc92-419e-963f-ddaade6afc31

ex:glm-method

—

hasFamilyParameterbeam/3c955c5b-dc92-419e-963f-ddaade6afc31

ex:poisson-family

—

typebeam/bd88fada-39be-4f23-92a8-bcf3186013bd

ex:PythonFunction

—

hasParameterbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

model

—

hasParameterbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

device

—

hasParameterbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

loader

—

hasParameterbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

optimizer

—

usesLossFunctionbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

CrossEntropyLoss

—

performsBackpropagationbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

true

—

updatesOptimizerbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

true

—

resetsGradientsbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

true

—

calculatesTotalLossbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

true

—

printsEpochLossbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

true

—

iteratesOverbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

loader

—

usesEnumeratebeam/bd88fada-39be-4f23-92a8-bcf3186013bd

true

—

containsLoopbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

for batch_idx

—

usesEnumerateFunctionbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

enumerate

—

initializesbeam/bd88fada-39be-4f23-92a8-bcf3186013bd

total_loss=0

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setsModelTobeam/bd88fada-39be-4f23-92a8-bcf3186013bd

train mode

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