dffml
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intel
The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
`passphrase=b'something throwaway` --- ``` DEBUG:dffml.MemoryOrchestratorContext:Initializing dataflow: DEBUG:dffml.MemoryOperationImplementationNetworkContext:Instantiating operation implementation last_path(last_path) with default config: BaseConfig() DEBUG:dffml.LastPathImplementation:BaseConfig() DEBUG:dffml.SsiServiceImportPeerdidImplementation:EncyptedPrivateKey(passphrase=b'something throwaway', comment='no-comment') DEBUG:dffml.MemoryOrchestratorContext:Running : ({'run_subflow': [Input(value=https://github.com/intel/dffml, definition=URL)]},) DEBUG:dffml.MemoryOrchestratorContext:Seeding dataflow with input_set: [Input(value=https://github.com/intel/dffml, definition=URL)] DEBUG:dffml.MemoryOrchestratorContext:kickstarting...
We should create a way to do a keybase style proof of ownership of a repo. This would allow for posting of arbitrary metrics to a metrics database.
From: Terri (paraphrased) Just a quick note to let you know that we're gearing up for GSoC 2022. It's going to be an interesting year! Google's made a few big...
Introduced in 554414a4b4e8a4c76925b5201f14ec7cc97ae3d4
## Pain Point We do not have operations to work with time-series data ## Proposed Solution Implement/Update operations for the following tasks: - [ ] NaN Removal - [ ]...
Should be able to ask Alice to make manifest for assets on disk and then upload them to video hosting platform with manifest specific to accessing on that platform.
All the failing tests have been listed below: - [x] **test (model/scikit, 3.8)** - [x] **test (model/scikit, 3.7)** - [ ] **test (examples/shouldi, 3.8)** - [ ] **test (examples/shouldi, 3.7)**...
Would be great to have grid search for hyper parameter tuning in dffml. Something along the lines of [`sklearn.model_selection.GridSearchCV`](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html#sklearn.model_selection.GridSearchCV) Or maybe simply having a parameter grid and building and passing...
