Comments (2)
srivatsan88
commented on May 6, 2024
@MichailChatzianastasis .. I have not tried others except for tabular yet. But based on researching their code base, You can write a custom class of your data and then select architecture you want to run against by setting it in training spec. The architecture is available in config folder - model_search/configs
So for image you can use CNN specification and for time series RNN spec. You can customize your search space as well in these config files. I will update details if I get a chance to try it
This package is not friendly yet frankly :(
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Xiaoping777
commented on May 6, 2024
@srivatsan88 Could you please post your implementation of multi dimension data as input ? Thanks in advance
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Related Issues (20)
- How to Train a model with 2 dimensional dataset , ie. sentence with wordVec
- RuntimeError: Error when executing query: file is not a database query
- Could it search for models that use time series such as RNN HOT 5
- Evaluating Model Search Results HOT 7
- Model Architecture Output? HOT 2
- Is there anyway we can use model_search for object detection also ?
- Is it feasible to use MirroredStrategy for training?
- I'm confused by distributed search, any suggestions are welcomed!
- RuntimeError: Cannot connect sqlite3 database: unable to open database file HOT 2
- Neural Network Architecture Details HOT 3
- Documentation for Utilizing Output of Model Search?
- Possible beta for Regression Modeling? HOT 1
- Training on Multiclass Image Dataset HOT 1
- How to predict from model_search saved_model.pb HOT 3
- How to know which model is the best and what is its accuracy? HOT 4
- AttributeError: module 'ml_metadata.metadata_store' has no attribute 'MetadataStore' HOT 1
- UnicodedecodeErroe HOT 1
- sqlite default filename is not Windows compatible
- AttributeError: 'Tensor' object has no attribute 'numpy'
- Project dependencies may have API risk issues
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