Determining labels for timeseries

I have csv data from various weather sensors like [real data is far more complex from many sensors]:

TimePeriod    Temp      Pressure      WindSpeed
1,            16,        100,          57
2,            18,        96,           71

There is also the "result": Snow, Rain, Sunny, Wind Shear, etc for each time period.

I want to train a Neural Network to learn from the data to predict the "result". I have sufficient data to create both training and test datasets.

I am stuck at "go" on the Vectorization! I think I simply have one large CSV file for a period of several months as training data.

Would that limit me to a single Label?

For time-series predictions such as this, I haven't been able to find a good example about setting up such training data.

Solution

Isn't the Iris dataset somewhat similar to what you have?