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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -2438,7 +2436,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 9, "id": "c3072d47", "metadata": {}, "outputs": [ @@ -2461,22 +2459,12 @@ "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n", "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -2488,10 +2476,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "[[15.97637626 0.59409338 5.21563039 10.48408912]\n", - " [ 0.11387677 0.12790715 0.07085955 0.0876202 ]\n", - " [ 0.21155534 6.53228442 4.27904283 0.51498308]\n", - " [17.80782971 42.40085725 10.56507707 15.74791571]]\n" + "[[6.90732417e+00 1.97094475e+01 1.57990613e+01 6.05984191e-01]\n", + " [2.08450110e-01 1.86438494e-01 7.06379681e-02 2.67760777e-01]\n", + " [2.03157147e+01 3.53757381e-01 1.66436883e-01 1.76975172e-01]\n", + " [7.53767420e+01 3.13860106e+01 9.45323854e+01 1.01940852e+02]]\n" ] } ],