From the course: MLOps Tools: MLflow and Hugging Face

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Create an MLflow project

Create an MLflow project - Hugging Face Tutorial

From the course: MLOps Tools: MLflow and Hugging Face

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Create an MLflow project

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- [Instructor] Now let's go and create an actual MLFlow project. So I've listed a couple of the steps that you will need, but let's start with the dependencies. And for this project, we'll be using an example project called wine.ratings.csv. It's the dataset, is just a single row, but it has many problems in it. Actually, let's take a look at what this CSV looks like. And it is, well actually, not this one, this one's very large. But what I want to show you is not that one but the one on exploratory. And this carriage.csv file, it's only a single row. And it has problems with some of the columns. You can see here, grape doesn't have any values. And GitHub doesn't render that, but there's some carriage returns here on this field, right there on notes. So the problem with carriage returns is, that might be problematic because some tools might not work with it. So we're going to catch those, we're going to report those and we're going to make MLFlow work with that and run and install…

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