### Major Features and Improvements

*   Added F-Score metrics `tf.keras.metrics.FBetaScore`, `tf.keras.metrics.F1Score`, and `tf.keras.metrics.R2Score`.
*   Added activation function `tf.keras.activations.mish`.

type minioCollector struct {
	desc *prometheus.Desc
}

// Describe sends the super-set of all possible descriptors of metrics
func (c *minioCollector) Describe(ch chan<- *prometheus.Desc) {
	ch <- c.desc
}

// Collect is called by the Prometheus registry when collecting metrics.
func (c *minioCollector) Collect(ch chan<- prometheus.Metric) {
	// Expose MinIO's version information

			return metrics
		}

		metrics = make([]MetricV2, 0, 5)
		metrics = append(metrics, MetricV2{
			Description: getHealLastActivityTimeMD(),
			Value:       float64(time.Since(bgSeq.lastHealActivity)),
		})
		metrics = append(metrics, getObjectsScanned(bgSeq)...)
		metrics = append(metrics, getHealedItems(bgSeq)...)
		metrics = append(metrics, getFailedItems(bgSeq)...)
		return metrics
	})
	return mg

	}

	metrics := getHistogramMetrics(ttfbHist, getBucketTTFBDistributionMD(), false, false)
	// additional labels for +Inf for all histogram metrics
	if expPoints := len(labels) * (len(histBuckets) + 1); expPoints != len(metrics) {
		t.Fatalf("Expected %v data points when toLowerAPILabels=false but got %v", expPoints, len(metrics))
	}

			aggr.Merge(&disk)
		}
		m.Aggregated.Disk = &aggr
	}

	if types.Contains(madmin.MetricsScanner) {
		metrics := globalScannerMetrics.report()
		m.Aggregated.Scanner = &metrics
	}
	if types.Contains(madmin.MetricsOS) {
		metrics := globalOSMetrics.report()
		m.Aggregated.OS = &metrics
	}
	if types.Contains(madmin.MetricsBatchJobs) {
		m.Aggregated.BatchJobs = globalBatchJobsMetrics.report(opts.jobID)
	}

	name := rm.Name
	metrics := make([]MetricV2, 0, 3)
	metrics = append(metrics, MetricV2{
		Description:    getResourceMetricDescription(subSys, name, help),
		Value:          rm.Current,
		VariableLabels: cloneMSS(rm.Labels),
	})

	if requireAvgMax {
		avgName := MetricName(fmt.Sprintf("%s_avg", name))
		avgHelp := fmt.Sprintf("%s (avg)", help)
		metrics = append(metrics, MetricV2{

// server lists all metrics that could be returned for the requested path.
//
// The (repeatable) `buckets` query parameter is a list of bucket names (or it
// could be a comma separated value) to return metrics with a bucket label.
// Bucket metrics will be returned only for the provided buckets. If no buckets
// parameter is provided, no bucket metrics are returned.

	// Queued operations
	Queued InQueueMetric `json:"queued"`
	// Proxy stats
	Proxied ProxyMetric `json:"proxied"`
	// replication metrics summary for each site replication peer
	Metrics map[string]SRMetric `json:"replMetrics"`
	// uptime of node being queried for site replication metrics
	Uptime int64 `json:"uptime"`

import (
	"context"
	"sync"
	"time"

	"github.com/minio/madmin-go/v3"
	"github.com/minio/minio/internal/cachevalue"
)

// metricsCache - cache for metrics.
//
// When serving metrics, this cache is passed to the MetricsLoaderFn.
//
// This cache is used for metrics that would result in network/storage calls.
type metricsCache struct {
	dataUsageInfo       *cachevalue.Cache[DataUsageInfo]

func (m *MetricValues) setDriveAPIMetrics(disk madmin.Disk, labels []string) {
	if disk.Metrics == nil {
		return
	}

	m.Set(driveTimeoutErrorsTotal, float64(disk.Metrics.TotalErrorsTimeout), labels...)
	m.Set(driveIOErrorsTotal, float64(disk.Metrics.TotalErrorsAvailability-disk.Metrics.TotalErrorsTimeout), labels...)
	m.Set(driveAvailabilityErrorsTotal, float64(disk.Metrics.TotalErrorsAvailability), labels...)