{* ../../docs_src/path_params_numeric_validations/tutorial004_an_py310.py hl[10] *}

## Validaciones numéricas: mayor que y menor o igual { #number-validations-greater-than-and-less-than-or-equal }

Lo mismo aplica para:

* `gt`: `g`reater `t`han
* `le`: `l`ess than or `e`qual

{* ../../docs_src/path_params_numeric_validations/tutorial005_an_py310.py hl[10] *}

     * @param resetDictionaries whether to reset dictionaries during reindexing
     * @param numberOfShards the number of shards for the new index
     * @param autoExpandReplicas the auto expand replicas setting for the new index
     * @return true if the reindex operation started successfully, false otherwise
     */

defaults to the value of {{ .Values.mountPath }} ## If defined, it must be a sub-directory of the path specified in {{ .Values.mountPath }} ## bucketRoot: "" # Number of drives attached to a node drivesPerNode: 1 # Number of MinIO containers running replicas: 4 # Number of expanded MinIO clusters zones: 1 ## TLS Settings for MinIO tls: enabled: false ## Create a secret with private.key and public.crt files and pass that here. Ref: https://github.com/minio/minio/tree/master/docs/tls/kubernetes#2-crea...

defaults to the value of {{ .Values.mountPath }} ## If defined, it must be a sub-directory of the path specified in {{ .Values.mountPath }} ## bucketRoot: "" # Number of drives attached to a node drivesPerNode: 1 # Number of MinIO containers running replicas: 4 # Number of expanded MinIO clusters zones: 1 ## TLS Settings for MinIO tls: enabled: false ## Create a secret with private.key and public.crt files and pass that here. Ref: https://github.com/minio/minio/tree/master/docs/tls/kubernetes#2-crea...

defaults to the value of {{ .Values.mountPath }} ## If defined, it must be a sub-directory of the path specified in {{ .Values.mountPath }} ## bucketRoot: "" # Number of drives attached to a node drivesPerNode: 1 # Number of MinIO containers running replicas: 4 # Number of expanded MinIO clusters zones: 1 ## TLS Settings for MinIO tls: enabled: false ## Create a secret with private.key and public.crt files and pass that here. Ref: https://github.com/minio/minio/tree/master/docs/tls/kubernetes#2-crea...

defaults to the value of {{ .Values.mountPath }} ## If defined, it must be a sub-directory of the path specified in {{ .Values.mountPath }} ## bucketRoot: "" # Number of drives attached to a node drivesPerNode: 1 # Number of MinIO containers running replicas: 4 # Number of expanded MinIO clusters zones: 1 ## TLS Settings for MinIO tls: enabled: false ## Create a secret with private.key and public.crt files and pass that here. Ref: https://github.com/minio/minio/tree/master/docs/tls/kubernetes#2-crea...

defaults to the value of {{ .Values.mountPath }} ## If defined, it must be a sub-directory of the path specified in {{ .Values.mountPath }} ## bucketRoot: "" # Number of drives attached to a node drivesPerNode: 1 # Number of MinIO containers running replicas: 4 # Number of expanded MinIO clusters zones: 1 ## TLS Settings for MinIO tls: enabled: false ## Create a secret with private.key and public.crt files and pass that here. Ref: https://github.com/minio/minio/tree/master/docs/tls/kubernetes#2-crea...

defaults to the value of {{ .Values.mountPath }} ## If defined, it must be a sub-directory of the path specified in {{ .Values.mountPath }} ## bucketRoot: "" # Number of drives attached to a node drivesPerNode: 1 # Number of MinIO containers running replicas: 16 # Number of expanded MinIO clusters pools: 1 ## TLS Settings for MinIO tls: enabled: false ## Create a secret with private.key and public.crt files and pass that here. Ref: https://github.com/minio/minio/tree/master/docs/tls/kubernetes#2-cre...

## If defined, it must be a sub-directory of the path specified in {{ .Values.mountPath }}
##
bucketRoot: ""

# Number of drives attached to a node
drivesPerNode: 1
# Number of MinIO containers running
replicas: 16
# Number of expanded MinIO clusters
pools: 1

## TLS Settings for MinIO
tls:
  enabled: false

* **Deep Learning**: este es un subcampo de Machine Learning, por lo tanto, se aplica lo mismo. Es solo que no hay una sola hoja de cálculo de números para multiplicar, sino un enorme conjunto de ellas, y en muchos casos, usas un procesador especial para construir y / o usar esos modelos.