Generally refactor/cleanup the algorithms app

[banesullivan]

Rethink these algorithms models and clean them up - the goal is to remove as much technical debt as possible

We should also pull in @AlmightyYakob to think about Danesfield project needs here since I believe there are overlapping goals (perhaps this algorithms app will be made into a re-usable app)

[banesullivan]

From our goals meeting:

• Enable users to upload an AI model container (docker) via API or web interface or at the deployment.
• Enable users to search or just pick some dataset (a collection of rasters, vectors or something else) that use that to feed into the AI model
  • Feed collection of same data type to algorithm/model

We need to make sure these two are captured in our effort to refactor the algorithms app.

[banesullivan]

Requires #2 to rework the inputs/outputs to Algorithms

[banesullivan]

Models to remove:

• Task (or at least make it optional)
• Groundtruth: I do not think we need this model in our planned use cases
• ScoreAlgorithm: if no Groundtruth, then we can't score
• ScoreJob: can't score a job without ScoreAlgorithm
• ScoreResult: ... similarly

Models to rethink:

• Dataset we need some way of capturing a data collection or search result as the input to an algorithm
• AlgorithmResult: we need a new way of tracking outputs since #2 will switch us to use RGD records for the outputs

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This will leave us with a generalized set of models for executing "algorithms" from there, we can expand the notion of an algorithm to be a way of executing ML models etc.