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I have a "bundle.zip" serialized from pyspark.
I want to deserialize this pipeline object in my python application without needing a spark context.
according to the documentation this is possible:
…
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See https://github.com/combust/mleap/pull/686#discussion_r434005552
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Hello mleap experts,
I have built a custom transformer which maps a key to vector with a Map, but the scale is not small ~100K, the custom transformer is used multiple times in same mleap pipeline…
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Fix MathBinary bug
See https://github.com/combust/mleap/pull/824#discussion_r978030952
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HI:
when I deal with flink Dataset ,I want to convert it to Mleap DenseVector for tensorflow model train dataset input,Need to do this. but I could not found these relation convert method
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Hello, I saw the mleapSparseTensorFormat on the json support, but how can I use this?
I've tried this way:
{
"schema": {
"fields": [{
"name": "features",
"type": {
"ty…
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Hi there. I tried to train a Spark `BinaryLogisticRegressionModel` with a dataset whose labels are the same value and used this model to make predictions.
``` Scala
// data
val rddData = sc.paral…
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**Problem**
TransmogrifAI is currently only usable from Scala with Spark. It would be great if one could:
1. Load TransmogrifAI models in Python, display model insights and compare/evaluate with oth…
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One concern for the pyspark model serving is the real time performance or latency.
Clipper provides a wrapper of pyspark session, as mentioned in the document:
The model container creates a long…
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Databricks has its own packge for running Deep Learning on Spark: https://github.com/databricks/spark-deep-learning
Wondering if MLeap supports this or not?
Thanks!