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objective = objectiveSKLearn()

initial_params = {
    'embeddingDimension': 64,
    'thirdWeight': 0.5,
    'fourthWeight': 1.0,
    'normalizationStrength': -0.5
    
}

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def objectiveSKLearn():
    
    def objective(params):

        dim = params['embeddingDimension']
        thirdWeight = params['thirdWeight']
        fourthWeight = params['fourthWeight']
        normalizationStrength = params['normalizationStrength']

        # Create embeddings

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def optuna_objective(trial):

    params = {
        'embeddingDimension': trial.suggest_int('embeddingDimension', 32, 512, log=True),
        'thirdWeight': trial.suggest_float('thirdWeight', 0.0, 1.0),
        'fourthWeight': trial.suggest_float('fourthWeight', 0.0, 1.0),
        'normalizationStrength': trial.suggest_float('normalizationStrength', -1.0, 1.0)
    }

    return objective(params)

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def modeler(k_folds=5, model='linear', show_matrix=True):

    acc_scores = []

    df = create_df()
    X, y = create_X_y(df)

    for i in range(0, k_folds):
        
        X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25)

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// Create in-memory graph of (Paper)-[:CITES]-(Paper)
CALL gds.graph.create(
    'cora',
    'Paper',
    {CITES: 
        {
            orientation: 'UNDIRECTED'
        }
    }
)

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// Load edge list
LOAD CSV WITH HEADERS FROM 'https://raw.githubusercontent.com/cj2001/pydata2021/main/notebooks/data/cora_edges.csv' AS line
WITH line
MATCH (source:Paper {id: line.source})
MATCH (target:Paper {id: line.target})
MERGE (source)-[:CITES]->(target)
RETURN COUNT(*)

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// Load node list
LOAD CSV WITH HEADERS FROM 'https://raw.githubusercontent.com/cj2001/pydata2021/main/notebooks/data/cora_nodes.csv' AS line
WITH line
MERGE (p:Paper {id: line.id})
    ON CREATE SET p.subject = line.subject, p.features = line.features
RETURN COUNT(*)

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// Create constraints
CREATE CONSTRAINT papers IF NOT EXISTS ON (p:Paper) ASSERT p.id IS UNIQUE;

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docker run -v $HOME/graph_data/data:/data -v $HOME/graph_data/gameofthrones:/var/lib/neo4j/import neo4j:latest bin/neo4j-admin import --nodes=import/got-s1-nodes.csv --relationships=import/got-s1-edges.csv
&& 
docker run -p7474:7474 -p7687:7687 -v $HOME/graph_data/data:/data -v $HOME/graph_data/gameofthrones:/var/lib/neo4j/import --env NEO4J_AUTH=neo4j/test neo4j:latest

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FROM python:3.9.5-slim-buster

EXPOSE 8501

WORKDIR /app

COPY requirements.txt .
RUN pip install -U pip
RUN pip install --no-cache-dir -r requirements.txt