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This commit is contained in:
Weaponised Autism
2023-03-30 18:22:32 +02:00
parent 172bcf3c23
commit 86107d5bb6
3 changed files with 11 additions and 16 deletions
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15
py_scripts/mining_hq.py
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@@ -78,15 +78,6 @@ games_sales_split_dur = sale_tri_split[1]
games_sales_split_pos = sale_tri_split[2]
# Displaying Acquired Data
print("Acquired Datasets:\n")
print(sale_tri_split[0].head(5), sale_tri_split[1].head(5), sale_tri_split[2].head(5))
print("Dataset Info:\n")
sale_tri_split[0].info()
sale_tri_split[1].info()
sale_tri_split[2].info()
print("Dataset Info:\n")
games_sales_split_pre.info()
games_sales_split_dur.info()
@@ -113,8 +104,8 @@ gammas = digger.slam_dunk(gammas, "Critic_Score", labels=labels)
# Also need to transform using Z-score (normal distr go brrrr lmao), or min-max
# ah, scheiße
# nvm, done, kekW
gammas['Critic_Score'] = scout.scaling_zscore(gammas, 'Critic_Score')
print(gammas['Critic_Score'].head(10))
gammas['Critic_Score_Norm'] = scout.scaling_zscore(gammas, 'Critic_Score')
print(gammas['Critic_Score_Norm'].head(10))
# Saving all into a file
gammas.to_csv("output.csv", index=False)
@@ -125,4 +116,4 @@ chosen_idx = np.random.choice(len(gammas), replace = False, size = 5)
sample_rows = gammas.iloc[chosen_idx]
print(sample_rows.head())
scout.dissimilarity(sample_rows.select_dtypes(include = np.number))
# scout.dissimilarity(sample_rows.select_dtypes(include = np.number))