|
108 | 108 | ] |
109 | 109 | candidate_strategy: str = SIMILARITY_STRATEGY[0] |
110 | 110 |
|
111 | | -# static_thresholds = np.array( |
112 | | -# [0.76, 0.78, 0.80, 0.82, 0.84, 0.86, 0.88, 0.90, 0.92, 0.94, 0.96] |
113 | | -# ) |
114 | | -static_thresholds = np.array([0.76, 0.78]) |
115 | | -# deltas = np.array([0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1]) |
116 | | -deltas = np.array([0.01, 0.02]) |
| 111 | +static_thresholds = np.array( |
| 112 | + [0.76, 0.78, 0.80, 0.82, 0.84, 0.86, 0.88, 0.90, 0.92, 0.94, 0.96] |
| 113 | +) |
| 114 | +deltas = np.array([0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1]) |
117 | 115 |
|
118 | 116 | # VectorQ Config |
119 | 117 | MAX_VECTOR_DB_CAPACITY: int = 100000 |
120 | 118 | PLOT_FONT_SIZE: int = 24 |
121 | 119 |
|
122 | 120 | SYSTEM_TYPES: List[str] = ["static", "dynamic_local", "dynamic_global", "all"] |
123 | | -SYSTEM_TYPE: str = SYSTEM_TYPES[2] |
| 121 | +SYSTEM_TYPE: str = SYSTEM_TYPES[3] |
124 | 122 |
|
125 | 123 |
|
126 | 124 | ######################################################################################################################## |
|
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