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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Baseline is static, a straight line for each input - Test
Step1:  Baseline is static, a straight line for each input - Train (reduced)
Step2:  Baseline is static, a straight line for each input - Train Full
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Python Code:
bltest = MyBaseline(npz_path=npz_test)
bltest.getMSE()
bltest.renderMSEs()
plt.show()
bltest.getHuberLoss()
bltest.renderHuberLosses()
plt.show()
bltest.get_dtw()
bltest.renderRandomTargetVsPrediction()
plt.show()
Explanation: Baseline is static, a straight line for each input - Test
End of explanation
cur_baseline = MyBaseline(npz_path=npz_train_reduced)
cur_baseline.getMSE()
cur_baseline.renderMSEs()
plt.show()
cur_baseline.getHuberLoss()
cur_baseline.renderHuberLosses()
plt.show()
cur_baseline.get_dtw()
cur_baseline.renderRandomTargetVsPrediction()
plt.show()
Explanation: Baseline is static, a straight line for each input - Train (reduced)
End of explanation
cur_baseline = MyBaseline(npz_path=npz_train)
cur_baseline.getMSE()
cur_baseline.renderMSEs()
plt.show()
cur_baseline.getHuberLoss()
cur_baseline.renderHuberLosses()
plt.show()
cur_baseline.get_dtw()
cur_baseline.renderRandomTargetVsPrediction()
plt.show()
Explanation: Baseline is static, a straight line for each input - Train Full
End of explanation
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