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introduction_to_amazon_algorithms/lda_topic_modeling
scientific_details_of_algorithms/lda_topic_modeling
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" job_name = job_name_prefix + timestamp\n " ,
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" \n " ,
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" \n " ,
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- " # set up the parameters for the SageMaker create_raining_job call. This includes\n " ,
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+ " # set up the parameters for the SageMaker create_training_job call. This includes\n " ,
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" # things like\n " ,
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" # * which algorithm image to use\n " ,
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" # * algorithm hyperparameters\n " ,
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"source" : [
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" ## Create Endpoint\n " ,
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" \n " ,
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- " Finally, we use the endpoint configuration to create a SageMaker LDA hosting enpoint ."
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+ " Finally, we use the endpoint configuration to create a SageMaker LDA hosting endpoint ."
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]
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},
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" job_name = job_name_prefix + timestamp\n " ,
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" \n " ,
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" \n " ,
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- " # set up the parameters for the SageMaker create_raining_job call. This includes\n " ,
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+ " # set up the parameters for the SageMaker create_training_job call. This includes\n " ,
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" # things like\n " ,
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" # * which algorithm image to use\n " ,
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" # * algorithm hyperparameters\n " ,
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"source" : [
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" ## Create Endpoint\n " ,
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" \n " ,
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- " Finally, we use the endpoint configuration to create a SageMaker LDA hosting enpoint ."
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+ " Finally, we use the endpoint configuration to create a SageMaker LDA hosting endpoint ."
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]
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},
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{
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