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Update app.py
Browse files
app.py
CHANGED
@@ -73,10 +73,10 @@ def plot_distributions(alpha, beta, left_count, right_count, num_people):
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if(left_count+right_count != 0):
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if(total_count<=num_people):
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ax[1,0].bar(np.arange(left_count,num_people-total_count+left_count+1), samples_posterior_mle)
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ax[1, 0].set_xlim(-0.5, num_people
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else:
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ax[1,0].bar(np.arange(0,num_people+1), samples_posterior_mle)
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ax[1,0].set_xlim(-0.5,num_people+
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ax[1,0].set_xlabel('Number of Left Handed Student')
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ax[1,0].set_title('Predictive Distribution given MLE')
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@@ -84,10 +84,10 @@ def plot_distributions(alpha, beta, left_count, right_count, num_people):
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## Change here
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if(total_count<=num_people):
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ax[1,1].bar(np.arange(left_count,num_people-total_count+left_count+1), samples_prior_pred)
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ax[1,1].set_xlim(-0.5,num_people+
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else:
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ax[1,1].bar(np.arange(0,num_people+1), samples_prior_pred)
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ax[1,1].set_xlim(-0.5,num_people+
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ax[1,1].set_xlabel('Number of Left Handed Student')
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ax[1,1].set_title('Prior Predictive Distribution')
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@@ -95,10 +95,10 @@ def plot_distributions(alpha, beta, left_count, right_count, num_people):
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## Change here
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if(total_count<=num_people):
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ax[1,2].bar(np.arange(left_count,num_people-total_count+left_count+1), samples_posterior_pred)
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ax[1,2].set_xlim(-0.5,num_people+
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else:
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ax[1,2].bar(np.arange(0,num_people+1), samples_posterior_pred)
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ax[1,2].set_xlim(-0.5,num_people+
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ax[1,2].set_xlabel('Number of Left Handed Student')
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ax[1,2].set_title('Posterior Predictive Distribution')
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if(left_count+right_count != 0):
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if(total_count<=num_people):
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ax[1,0].bar(np.arange(left_count,num_people-total_count+left_count+1), samples_posterior_mle)
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ax[1, 0].set_xlim(-0.5, num_people+0.5)
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else:
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ax[1,0].bar(np.arange(0,num_people+1), samples_posterior_mle)
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+
ax[1,0].set_xlim(-0.5,num_people+0.5)
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ax[1,0].set_xlabel('Number of Left Handed Student')
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ax[1,0].set_title('Predictive Distribution given MLE')
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## Change here
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if(total_count<=num_people):
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ax[1,1].bar(np.arange(left_count,num_people-total_count+left_count+1), samples_prior_pred)
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+
ax[1,1].set_xlim(-0.5,num_people+0.5)
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else:
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ax[1,1].bar(np.arange(0,num_people+1), samples_prior_pred)
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+
ax[1,1].set_xlim(-0.5,num_people+0.5)
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ax[1,1].set_xlabel('Number of Left Handed Student')
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ax[1,1].set_title('Prior Predictive Distribution')
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## Change here
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if(total_count<=num_people):
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ax[1,2].bar(np.arange(left_count,num_people-total_count+left_count+1), samples_posterior_pred)
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+
ax[1,2].set_xlim(-0.5,num_people+0.5)
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else:
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ax[1,2].bar(np.arange(0,num_people+1), samples_posterior_pred)
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+
ax[1,2].set_xlim(-0.5,num_people+0.5)
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ax[1,2].set_xlabel('Number of Left Handed Student')
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ax[1,2].set_title('Posterior Predictive Distribution')
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