suggest_discrete_uniform

The `suggest_discrete_uniform` function generates a random number from a uniform distribution. This distribution is characterized by a bound and an upper bound, and all values between these bounds have an equal probability of being chosen. Here's an example usage Python:

import random

def suggest_discrete_uniform(lower_bound, upper_bound):
    return random.randint(lower_bound, upper_bound)

# Example usage
lower = 1
upper = 10
random_number = suggest_discrete_uniform(lower, upper)
print(random_number)

In this example, `suggest_discrete_uniform` will suggest a random number between 1 and 10 (inclusive). The actual value can be any integer between the lower and upper bounds.

相关问题

optuna中suggest_uniform

`optuna`是一个用于超参数优化的Python库，其中`suggest_uniform`是其提供的一种超参数建议方法之一。该方法会在指定的范围内均匀地随机生成一个浮点数作为建议值。具体来说，`suggest_uniform`方法接受三个参数：名称、下限和上限。例如，以下代码将建议一个名为`learning_rate`的超参数，其值在0.01和0.1之间均匀分布：

import optuna

def objective(trial):
    learning_rate = trial.suggest_uniform('learning_rate', 0.01, 0.1)
    # ...

在每次调用`objective`函数时，`trial.suggest_uniform`方法都会生成一个新的建议值。最终，`optuna`将会从所有尝试中选择一个具有最佳性能的超参数组合。

cpu_sys_in_millis cpu_user_in_millis merge_threads merge_queue merge_active merge_rejected merge_largest merge_completed bulk_threads bulk_queue bulk_active bulk_rejected bulk_largest bulk_completed warmer_threads warmer_queue warmer_active warmer_rejected warmer_largest warmer_completed get_largest get_completed get_threads get_queue get_active get_rejected index_threads index_queue index_active index_rejected index_largest index_completed suggest_threads suggest_queue suggest_active suggest_rejected suggest_largest suggest_completed fetch_shard_store_queue fetch_shard_store_active fetch_shard_store_rejected fetch_shard_store_largest fetch_shard_store_completed fetch_shard_store_threads management_threads management_queue management_active management_rejected management_largest management_completed percolate_queue percolate_active percolate_rejected percolate_largest percolate_completed percolate_threads listener_active listener_rejected listener_largest listener_completed listener_threads listener_queue search_rejected search_largest search_completed search_threads search_queue search_active fetch_shard_started_threads fetch_shard_started_queue fetch_shard_started_active fetch_shard_started_rejected fetch_shard_started_largest fetch_shard_started_completed refresh_rejected refresh_largest refresh_completed refresh_threads refresh_queue refresh_active optimize_threads optimize_queue optimize_active optimize_rejected optimize_largest optimize_completed snapshot_largest snapshot_completed snapshot_threads snapshot_queue snapshot_active snapshot_rejected generic_threads generic_queue generic_active generic_rejected generic_largest generic_completed flush_threads flush_queue flush_active flush_rejected flush_largest flush_completed server_open rx_count rx_size_in_bytes tx_count tx_size_in_bytes

这些指标是Elasticsearch集群监控指标，包括：

- cpu_sys_in_millis：集群中所有节点的系统CPU使用时间，即内核态时间。
- cpu_user_in_millis：集群中所有节点的用户CPU使用时间，即用户态时间。
- merge_threads/merge_queue/merge_active/merge_rejected/merge_largest/merge_completed：用于合并段（segments）的线程池监控指标。
- bulk_threads/bulk_queue/bulk_active/bulk_rejected/bulk_largest/bulk_completed：用于批量操作的线程池监控指标。
- warmer_threads/warmer_queue/warmer_active/warmer_rejected/warmer_largest/warmer_completed：用于预热索引的线程池监控指标。
- get_largest/get_completed/get_threads/get_queue/get_active/get_rejected：用于处理get请求的线程池监控指标。
- index_threads/index_queue/index_active/index_rejected/index_largest/index_completed：用于处理index请求的线程池监控指标。
- suggest_threads/suggest_queue/suggest_active/suggest_rejected/suggest_largest/suggest_completed：用于处理suggest请求的线程池监控指标。
- fetch_shard_store_queue/fetch_shard_store_active/fetch_shard_store_rejected/fetch_shard_store_largest/fetch_shard_store_completed/fetch_shard_store_threads：用于获取分片数据的线程池监控指标。
- management_threads/management_queue/management_active/management_rejected/management_largest/management_completed：用于管理操作的线程池监控指标。
- percolate_queue/percolate_active/percolate_rejected/percolate_largest/percolate_completed/percolate_threads：用于处理percolate请求的线程池监控指标。
- listener_active/listener_rejected/listener_largest/listener_completed/listener_threads/listener_queue：用于处理请求的监听器监控指标。
- search_rejected/search_largest/search_completed/search_threads/search_queue/search_active：用于处理search请求的线程池监控指标。
- fetch_shard_started_threads/fetch_shard_started_queue/fetch_shard_started_active/fetch_shard_started_rejected/fetch_shard_started_largest/fetch_shard_started_completed：用于获取分片数据的线程池监控指标。
- refresh_rejected/refresh_largest/refresh_completed/refresh_threads/refresh_queue/refresh_active：用于刷新操作的线程池监控指标。
- optimize_threads/optimize_queue/optimize_active/optimize_rejected/optimize_largest/optimize_completed：用于优化操作的线程池监控指标。
- snapshot_largest/snapshot_completed/snapshot_threads/snapshot_queue/snapshot_active/snapshot_rejected：用于快照操作的线程池监控指标。
- generic_threads/generic_queue/generic_active/generic_rejected/generic_largest/generic_completed：用于处理通用请求的线程池监控指标。
- flush_threads/flush_queue/flush_active/flush_rejected/flush_largest/flush_completed：用于刷新操作的线程池监控指标。
- server_open：当前打开的HTTP连接数。
- rx_count/rx_size_in_bytes：接收的HTTP请求数和数据量。
- tx_count/tx_size_in_bytes：发送的HTTP响应数和数据量。

这些指标可以帮助我们监控Elasticsearch集群的运行状态和性能，及时发现并解决潜在的问题。