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chore: rename algo to function #264
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Signed-off-by: ThibaultFy <50656860+ThibaultFy@users.noreply.github.com>
Signed-off-by: ThibaultFy <50656860+ThibaultFy@users.noreply.github.com>
Signed-off-by: ThibaultFy <50656860+ThibaultFy@users.noreply.github.com>
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@@ -83,7 +83,7 @@ | |||
# | |||
# - Data cannot be seen once it's registered on the platform. | |||
# - Metadata are visible by all the users of a channel. | |||
# - Permissions allow you to execute an algorithm on a certain dataset. | |||
# - Permissions allow you to execute an functionrithm on a certain dataset. |
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# - Permissions allow you to execute an functionrithm on a certain dataset. | |
# - Permissions allow you to execute a function on a certain dataset. |
@@ -5,14 +5,14 @@ In Substra, users create tasks that are registered to the platform, then execute | |||
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A task needs a valid Dockerfile to create a container and expose a command line interface. The execution of the command creates the expected output files. | |||
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For example, an algo defines a list of inputs and outputs. At the task execution, the inputs files are given to the container, the paths to the files are given as arguments to the command line, and the task is responsible for creating the output files. | |||
For example, an function defines a list of inputs and outputs. At the task execution, the inputs files are given to the container, the paths to the files are given as arguments to the command line, and the task is responsible for creating the output files. |
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For example, an function defines a list of inputs and outputs. At the task execution, the inputs files are given to the container, the paths to the files are given as arguments to the command line, and the task is responsible for creating the output files. | |
For example, a function defines a list of inputs and outputs. At the task execution, the inputs files are given to the container, the paths to the files are given as arguments to the command line, and the task is responsible for creating the output files. |
# =========== | ||
# An algorithm specifies the method to train a model on a dataset or the method to aggregate models. | ||
# Concretely, an algorithm corresponds to an archive (tar or zip file) containing: | ||
# An functionrithm specifies the method to train a model on a dataset or the method to aggregate models. |
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# An functionrithm specifies the method to train a model on a dataset or the method to aggregate models. | |
# A function specifies the method to train a model on a dataset or the method to aggregate models. |
# An algorithm specifies the method to train a model on a dataset or the method to aggregate models. | ||
# Concretely, an algorithm corresponds to an archive (tar or zip file) containing: | ||
# An functionrithm specifies the method to train a model on a dataset or the method to aggregate models. | ||
# Concretely, an functionrithm corresponds to an archive (tar or zip file) containing: |
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# Concretely, an functionrithm corresponds to an archive (tar or zip file) containing: | |
# Concretely, a function corresponds to an archive (tar or zip file) containing: |
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LGTM
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Description
Rename Algo concept to Function on all the stack.
Companion PRs